#Field>Track

[coimbrabertone]

Le Mans vs. Daytona, Two Sides of the Endurance Racing Coin.

A bit of a belated blog on the 2024 24 Hours of Le Mans, how it compares to the other major 24-hour race - the Rolex 24 at Daytona - and how IMSA and WEC differ.

First things first, sports car racing in general is at a peak right now.

The largest prototype fields in decades, interclass competition of sorts with LMDh/GTP cars on one end and Hypercars on the other, and equally diverse GT3 fields to go with it. It's not a competition between IMSA and WEC as far as I'm concerned, both series collaborated on these regulations and that has benefitted endurance racing as a whole.

That being said, I've noticed some differences between the two, and I've had some discussions with friends about it lately.

The crux is this: the Rolex 24 at Daytona is the curtain raiser for the racing season, where drivers from every discipline from Formula One to NASCAR to half the Indycar field, plus all the regular cast of characters from endurance racing come to play. It's all within the confines of a 2.5-mile oval with big grandstands and clear sightlines, and the lights are all over the track, meaning you can see all the action pretty well. It's also in Daytona Beach a few weeks ahead of the Daytona 500.

Daytona is a party, a celebration of motorsport to kick off the next season of racing.

Le Mans, meanwhile, is a beacon of history. The start-finish line is where it has always been, the Dunlop Bridge has outlasted Dunlop itself making racing tyres, and it's an old school reminder to when those types of circular bridges were all over racing. Then onto the Mulsanne, the long, dark highway, with bits of civilization interspersed with woods, a theme with continues in the back half of the track. Some corners are named after historic tracks, like Indianapolis, others are named after the marques which defined era of Le Mans history - Corvette, Porsche, and Ford in particular.

Corvette, which has dominated GT racing at Le Mans for decades now.

Porsche, which is the most successful brand at Le Mans, and

Ford, who went back-to-back-to-back-to-back in the late 60s with the GT40, and then returned with the GT1 and GTE models in more recent decades.

That dedication to history shows in the broadcast too, with the broadcast often cutting to Tom Kristensen for interviews or by harkening back to similar events in Le Mans' past. Obviously, that's something that comes up in all racing broadcasts, but it was very apparent at Le Mans this year.

For the record, I'm not saying that's bad, this blog is proof that I'm a massive nerd when it comes to racing history, and I love that, I'm just noting it's a difference.

The crowd burning a couch in celebration after the 12 Hours of Sebring? Fans celebrating the misadventures of the Sean Creech Motorsports American flag Ligier LMP2 with its many cautions at Daytona and now Watkins Glen? You don't really see that at Le Mans.

In fact, there was one very fun thing from the 2023 Le Mans that was missing this year: the Garage 56 NASCAR. Now, i understand that was a one-off thing, and I do get the impression that the hydrogen car they showed off before the race - which was numbered #24, just like the NASCAR had been - was supposed to be a G56 entry for this year but they couldn't quite get it working yet, so I know that it's a bit of an unfair criticism to levy against Le Mans.

Still, 2023 had the big Camaro memes, the V8 sound, all those Freebird on the Mulsanne edits, it made Le Mans more fun.

And of course, Le Mans is fun even without those things - ferris wheels, fireworks, and, you know, the whole twenty-four hours of motor racing thing - all make for appointment television for racing nerds like me, but it is something I've noticed coming out of the 2024 race.

So does Le Mans need to change? No, i don't think so.

I like seeing cars coming down the Mulsanne, I like seeing the Ferrari hypercar racing against Toyota in addition to all the cars that do both IMSA and WEC, I like the announcers getting increasingly delirious as it gets into the night stint, and I like the fact that Valentino Rossi is now a BMW GT3 driver who competed at Le Mans.

The Rolex 24 at Daytona is probably more fun that Le Mans and its position on the calendar probably lets it get a handful of one-off drivers that may not be able to do Le Mans, but Le Mans also attracts plenty of unique talent as well. Ferrari doesn't do IMSA, nor does Toyota, nor does Valentino Rossi.

Would I like them to? Absolutely.

Am I fine with just having two different, successful endurance racing series on either side of the Atlantic? Absolutely. It's like the modern version of CART vs. Formula One as far as I'm concerned, only this time, I'm in a position to enjoy it.

So yeah, there are some things I prefer about IMSA, but there's plenty I love about Le Mans as well.

Hell, the fact that after the sister Ferrari won last year, we got to see the #50 Ferrari of Nicklas Nielsen, Miguel Molina, and Antonio Fuoco win. Both cars have now won Le Mans, and this means that last year's Antonio Giovinazzi, and this year's Antonio Fuoco - two drivers I've followed since the mid-to-late 2010s when they were actively in the open wheel junior series - are both Le Mans winners.

That's cool. I love the fact that drivers can fulfill their dream of winning for Ferrari, not just in Formula One, but now at Le Mans too. It's a great time to see, and between this and Indycar, I'm developing a lot of hope for talented junior drivers without F1 prospects.

Hell, on that very note, Felipe Drugovich raced at Le Mans for Action Express Cadillac this year, which seems to be his first time back in a major racing series since his F2 title campaign. Glad to see him back behind the wheel, just wish it went better for him.

Anyway, this last weekend of racing was a bit of a dud for me and I find myself busy yet again, so I'll leave the blogpost here, but do let you know what you think!

[ummick]

'It's the start of something' – Mick Schumacher follows in Dad's sports car footsteps

Mick Schumacher's career stalled after two difficult years – now he's set to complete a circle started by his father by making his Le Mans Hypercar debut this weekend

Almost 33 years ago, a young Michael Schumacher found himself indignantly stranded just outside the Silverstone pit exit when his Mercedes C11 Group C car’s gear linkage crumbled during qualifying for the British Empire Trophy, as the ex-WEC round was known then. After the Silver Arrows junior driver’s mechanics came to his rescue – legging it down the pitlane to fix the car – the incident was deemed 'outside assistance' and the German hotshot was promptly excluded from the event, along with his Le Mans-winning team-mate Jochen Mass. Over three decades later, his son Mick is now getting to grips with what he calls "the basics" of a fast and furious, 40-car strong sports car field as he prepares to make his World Endurance Championship debut this weekend for Alpine in Qatar. Father and son have an uncanny reverse symmetry to their careers – while Michael had a couple of years of sports car appearances before famously launching into F1, son Mick is now embarking on an endurance racing journey after a couple of years in the grand prix world. Speaking to Motor Sport, the former F2 and F3 champion is clearly keen to put recent unsatisfying years behind him when he was either stuck at the back of the F1 grid with Haas or on the bench as a reserve driver for Mercedes – and describes how glad he is to be back behind the wheel.

"It's amazing," he enthuses. "It was my first season [in 2023] not racing in over 15 years, so it felt quite weird and I didn’t like it, so I'm happy that I'm back in the racing seat. Also, I feel like that working aspect of trying to prove yourself, trying to get after it, is something so special and unique to sports in general, and if you just sit on the bench, you don’t really get to do that. “I think it's definitely a start of something, which hopefully is a good season, a good project. Who knows what the future holds?" With limited testing in WEC, over the course of the Prologue and practice sessions Schumacher has just been trying to acclimatise to what is a congested Losail track at the best of times; a tight circuit originally designed for MotoGP bikes. "It's been my first experience with every car on track," he says, slightly wide-eyed. "I think it was good to have that with the GT cars, and see how [a number of] Hypercars behave on track – it's out of the ordinary to me [after] racing in open wheels. But it’s been positive, I got to do my laps. I think we learned a lot." Having only driven featherlight karts and single seaters up to this point, Schumacher admits that Alpine A424 has come as a bit of a shock to the system. Its Mecachrome V6 and rear-axle MGU might pump out a combined 670bhp, but compared to his Haas F1 car the French car still feels like a bit of an electric blue tank. "It's a very heavy car, low downforce, low power compared to what I’m used to," he says. "But there's still this racing aspect, there's still this aspect of trying to improve every single bit. And at the end, [while] not everybody has the same [cars], we're all pretty much in the same boat." Schumacher said that he was still adjusting to driving within a team of three, sharing the same car, rather than as an individual. "It's a very different approach to F1. Sometimes I still catch myself trying to be the fastest. It's just about learning to take the information, process it and be able to use it right away, counter-checking with the experiences of my teammates so I don't go in blind. We're trying to position ourselves with a car where we know we can last around ten hours."

With the Qatar race stretching out so long, Schumacher says that he has to be ready for anything that might be thrown his way, clearly relishing the challenge of this new discipline. That said, the young German makes no bones about where he’s trying to get back to. WEC is quite simply a springboard. "The closeness to Europe and the ability to merge it with my reserve driver role in F1 are for me the main aspects," he says when asked as to the reason behind the WEC move. "It's important to just go racing again, to stay race fit, sharp in my head so that whenever the opportunity arises in F1 I'm ready to switch over to that. But I think that there's a big future in Hypercar at the moment, with so many manufacturers coming in,and more races coming into the calendar, I hope, at some points. I think there's loads of great things to come in both championships." When asked 'Why Alpine?,' a similar response is forthcoming. "The closeness to F1 is definitely a big aspect," he admits. "But also just the fact to see how committed Alpine was as a brand to push this project – it's also a big factor. The combination was just difficult to resist." Part of the excitement around WEC this season is that in a 19-strong Hypercar line-up, no one is quite sure what the competitive order will be. Heavyweights Ferrari and Toyota will likely be near the sharp end, but this season Porsche and Cadillac look like serious threats to their supremacy. Meanwhile, new kids on the Hypercar block Alpine and Lamborghini are the dark horses. Even Schumacher himself isn't sure. "Honestly, I don't think anybody knows, really, where we are," he says. "I think we're just very excited to see how it's going to go for the ten hours here. It's a great track, it's a great place, great venue to come to, and it'll be exciting to get the first experience in race trim and try to contextualise every little detail and see where we end up."

[robinfrinjs]

The 70th running of the Macau GP (+ Google calendar of schedule)

For the first time in 10 years the Macau GP is run over two weekends again, with the first races taking place this weekend. And the important FIA F3 World Cup and the FIA GT World Cup will race next weekend and also the Motorcycle Grand Prix.

I have made a Google calendar with the complete schedule, which you can find down below.

The Macau GP is one of the only two current national Grand Prix events that are not part of the Formula One World Championship, the New Zealand GP being the other one.

History

The first running of the race was held in 1954 as a club race for local motor enthusiasts. It initially started off as an endurance race where 15 entrants competed in a four hour race over 51 laps.

In 1960 the race was first entered on the international racing calendar, and was subject for the first time to the regulations published by the FIA for sports and grand touring cars.

In 1978 to celebrate the race's 25th anniversary, a "Race of Giants" was organised. Where drivers like Jacky Ickx, Sir Stirling Moss, Bobby Unser, Phil Hill and Sir Jack Brabham participated.

In 1983 the race was first run as the FIA Formula 3 World Cup. Which was won by a young Ayrton Senna.

In 1998 Peter Dumbreck won the closest ever Macau Grand Prix - and the closest motor race in history at that time - when he beat Ricardo Mauricio by just 0.003 seconds.

More history can be found here

Format

As mentioned, the event will be run over two weekends. This is not the usual format but done for its 70th anniversary.

The past years the GT World Cup and The F3 World Cup weren't run because of Covid, this meant the main race was run with F4 cars. And mainly local drivers participated. This year F3 returns with an international field but Formula 4 stays.

FIA F3 World Cup

In 1983 the race was first run as the FIA Formula 3 World Cup. The Formula 3 race used to be more of an all-star race for drivers from several Formula 3 championships or even from other high profile championships.

But recently the FIA has reduced the Formula 3 championships so FIA F3 is the only major one to exist. This means it can now basically been seen as a non championship round for the FIA F3 championships.

This year however, still several drivers have stepped down again to F3 to participate. Formula E Driver Dan Ticktum, is a two-time winner of the event and has returned. Richard Verschoor, Formula 2 driver and the last winner of the event back in 2019 returns. But also IndyCar driver Marcus Armstrong joins the field.

Sophia Floersch also returns to the race to be there for the third time, during her debut she suffered a massive crash where she suffered a spinal fracture.

Formula 4

The Formula 4 SEA Championship runs from 11-12 November and will feature three female drivers. Vivian Siu, Miki Koyama and Bianca Bustamante. Vivian Siu is the only one of these to drive the complete F4 Sea championship this year. The Macau round however, is a non-championship round.

Formula 4 runs qualifying from 08:45 - 09:15 (CEST) on Saturday 11 November and their qualifying race from 01:00 - 01:25 (CEST). And they close the weekend with their main race from 08:40 - 09:20 (CEST)

TCR & GT

Several regional TCR and GT series race on the streets of Macau during the two Macau weekends. The first TCR race at Macau was held in 1972, and this was rare as TCR cars rarely raced at street circuits. Currently it's the final round of the China TCR Championship.

Motorcycle GP

Macau is a special event for motorcycle riders and has been since 1967. Their main race is on Saturday 18 November.

GT World Cup

The Macau GT Cup was added in 2008, and has been one of the most important supporting races of the Grand Prix since then.

The FIA GT World Cup is a race for GT3-spec cars organised by the SRO. This year it will be the sixth edition of the FIA GT World Cup.

Entry Lists

All entry lists can be found here.

The Track

Length: 3.8 miles (6.2 km)

Minimum width: 22.8 feet (7 m)

Formula 3 Macau Grand Prix Lap Record: 2:06.317 (Jüri Vips, 2019, FIA Formula 3)

Macau GT Cup Lap Record: 2:17.182 (Earl Bamber, 2019, Porsche 911 GT3 R)

Macau Guia Race Lap Record: 2:27.009 (Rob Huff, 2014, Lada Granta 1.6T)

Macau Motorcycle Grand Prix Lap Record: 2:23.616 (Stuart Easton, 2010, Kawasaki)

Where to Watch?

Every day is streamed on motorsport.tv, on the Macau GP Facebook page and their website.

Schedule

The schedule can be found right here in local time

I have added all sessions to my Google Calendar

Link to the Calendar

For any questions, my ask box is always open!

[gts6465]

Exploring the Best Horse Racing Photo Datasets for AI & Research

Introduction

In the rapidly advancing fields of artificial intelligence and data science, the availability of high-quality datasets is essential. Among the various specialized datasets, the Horse Racing Photo Dataset stands out as particularly valuable, playing a key role in domains such as computer vision, sports analytics, and machine learning. For researchers, developers, and AI enthusiasts alike, selecting the appropriate dataset can greatly influence the precision and performance of their models. This blog will delve into the top horse racing photo datasets, their various applications, and the sources from which they can be obtained.

Why Use Horse Racing Photo Datasets?

Horse racing is an exhilarating sport that demands meticulous analysis to monitor movement, forecast performance, and recognize events. High-resolution imagery of races, horses, and jockeys enables AI models to derive significant insights for:

Object Detection – Recognizing horses, jockeys, racetracks, and spectators during events.

Motion Analysis – Analyzing horse movements to anticipate race results.

Facial & Body Recognition – Distinguishing horses and jockeys through their unique physical traits.

Sports Betting & Analytics – Improving betting forecasts via real-time image analysis.

Augmented & Virtual Reality – Developing immersive experiences for enthusiasts of horse racing.

Top Horse Racing Photo Datasets

GTS AI Horse Racing Photo Dataset

This dataset stands out as one of the most extensive collections available, featuring thousands of high-quality images captured during actual horse racing events. Notable attributes include:

High-resolution images showcasing various angles and environmental conditions.

Comprehensive metadata for each image, detailing race location, horse number, and timestamps.

A variety of datasets designed to support different AI applications.

Google Open Images & Flickr Horse Racing Collections

These platforms offer publicly accessible images of horse racing events.

They necessitate thorough annotation and filtering to be effectively utilized for AI research.

Ideal for experimental initiatives and smaller-scale projects.

Kaggle and Archives of AI Research.

Kaggle provides a diverse array of datasets contributed by researchers in the field of artificial intelligence.

Among these, one can discover datasets related to horse racing that are integrated with sports analytics.

Certain datasets are annotated, rendering them beneficial for supervised learning applications.

How to Use a Horse Racing Photo Dataset for AI

Upon acquiring a dataset, it can be utilized for a range of AI applications:

Image Classification and Object Detection

Employing deep learning frameworks such as TensorFlow or PyTorch, one can train models to identify horses, jockeys, and various racing components.

Motion Tracking and Race Prediction

Utilizing OpenCV and computer vision methodologies, datasets can facilitate the analysis of race dynamics and the forecasting of winning probabilities.

Augmented Reality and Virtual Simulations

Developers may leverage these images to construct authentic racing simulations for both gaming and training purposes.

Concluding Remarks.

The appropriate dataset has the potential to reveal significant insights into horse racing by utilizing artificial intelligence and machine learning techniques. Regardless of whether your focus is on predictive analytics, computer vision, or creating immersive experiences, the Horse Racing Photo Dataset provided by Globose Technology Solution AI serves as an outstanding resource to initiate your project.

[gtsai3]

Revolutionizing AI Development: Why GTS is the Data Labeling Company You Can Trust

A learning model’s performance is primarily dependent on the quality of the data on which it is trained. In computer vision, accurate data labeling serves the purposes of allowing that trained model to be-uh-accurate in interpreting, processing, and analyzing the information across autonomous vehicles to healthcare. As industries start ramping up their dependence on AI solutions, the demand for a reliable data labeling company is high. Enter GTS, one of the most trusted partners for top data labeling solutions catering to various industry needs.

What is Data Labeling and Why Death is it Important, or Just the Information You Need?

And data labeling is simply tagging or annotating data, such as images, videos, texts, or audio, for training machine learning models. Labeled data enables the AI system to identify patterns, make predictions, and fairly accomplish tasks. For instance, labeled images of road signs, pedestrians, and vehicles allow the AI system to make accurate decisions while driving. Without proper data labeling, there can be failures among even the best AI algorithms. Due to the inclusion of erroneously labeled data, modeling might turn biased, leading to instances of wrong prediction and, therefore, convictions of mistakes in actual real-world deployments.

Why Choose GTS for Data Labeling?

At GTS (gts.ai), we know no two AI projects are alike; therefore, they require tailor-made solutions in order to yield good results. Here’s what sets us apart from the rest:

1. A Full Range of Labeling Services At GTS, we provide a complete lineup of data labeling services:

Image and Video Annotation: Bounding boxes, polygon annotations, semantic segmentation, and so much in this case for the autonomous vehicles, retail, and agriculture domains. Text Annotation: Named entity recognition, sentiment analysis, part-of-speech tagging to improve natural language processing models. Audio Annotation: Speech recognition, speaker identification, and sound classification improve the function of voice-activated systems.

2. Cutting-Edge Tools and Technology: With the help of advanced technologies, GTS delivers top-notch annotations at rapid speed. The platform is technology-enabled by AI tools that offer enhanced accuracy while minimizing manual workloads. 3. Experienced Workforce: There is a strong team behind every good AI model. Scalability and top-notch standards across the entire project are assured at GTS, via a worldwide fair share of highly trained annotators. 4. Data Protection and Compliance: GTS observes data privacy in the highest standards and abides by international data protection standards. Clients can rest assured that their data is handled with extreme care, thanks to full and stringent security measures. 5. Customer-Oriented: GTS believes in fostering long-term relationships with clients. Thus, its team collaborates closely with each client to understand their requirements thoroughly and offer flexible solutions according to project goals and budgets.

How GTS Is Transforming Industries

Autonomous Vehicles: The rise of self-driving technology necessitates proper image and video annotation. To this end, GTS offers high-quality labeled datasets aimed at boosting object detection, lane tracking, and pedestrian detection. Healthcare: Accurate data annotation in the medical world can sometimes lead to saving lives. GTS has annotated images for use in the medical field and in devices that assist doctors in providing care. Retail and E-commerce: GTS works with the retail sector to ensure improved AI models that enhance customer experience through product tagging and sentiment analysis. Agriculture: Through annotation of field data and satellite imagery, GTS supports precision agriculture, helping farmers monitor crop health and maximize yields.

GTS Advantage Real-World Instances

One of our clients in the autonomous driving sector encountered issues acquiring accurately labeled datasets. GTS provided annotation services that would boost its performance by a huge margin. Within months, the client started reporting better object detection performance and quicker model deployment. In another case, a healthcare startup approached GTS for support in labeling thousands of medical images. We worked with a streamlined work model that accommodated QA processes to ensure delivery within timelines, enabling the client to advance their AI-based diagnostic tool.

Conclusion

Choosing the right data labeling partner can be the decisive aspect determining the success of an AI project. Equipped with broad service ranges, cutting-edge technology, and a customer-centric approach, GTS.AI stands to make the foreground in the data labeling industry. Whether it be in automotive, healthcare, retail, or agriculture, GTS has the expertise and resources to address your data labelling needs. Looking to gain an edge in developing your AI models using the best-labeled data? Simply visit us at gts.ai and see how we can help transform your AI dreams into reality.

[motocentralgb]

Best Motorcycle Helmets of 2024 – Top Picks for Safety, Comfort & Performance

If you're looking for the best motorcycle helmets of 2024, you've come to the right place. At Moto Central, we pride ourselves on offering riders high-quality motorcycle gear, from helmets to accessories, with expert advice from our team at our Leicestershire-based showroom. With new safety standards, innovative materials, and advanced features emerging, this year brings a fantastic selection of helmets designed to enhance both protection and comfort. Whether you're a commuter, an adventure rider, or a track-day enthusiast, we've compiled this guide to help you choose the perfect helmet for your riding style.

Full-Face Helmets: Maximum Protection and Performance

Arai Quantic

The Arai Quantic continues to set a high standard for sport-touring helmets. Built to meet the rigorous ECE 22.06 certification, this helmet offers superior impact protection, aerodynamic efficiency, and exceptional ventilation. With a focus on comfort and long-distance performance, the Quantic is ideal for riders who want premium quality and safety.

Shoei GT-Air 3

Designed for sport-touring enthusiasts, the Shoei GT-Air 3 is packed with rider-friendly features. It includes an integrated drop-down sun visor, a Pinlock-ready main visor for anti-fog performance, and a micrometric ratchet fastener for ease of use. Excellent ventilation and seamless communication system compatibility make it a standout choice.

AGV K6 S

If you're looking for a lightweight full-face helmet without compromising on safety, the AGV K6 S is a brilliant option. With a carbon-aramid shell, it reduces neck strain while maintaining outstanding protection. Its aerodynamic design and excellent field of vision make it an all-round performer.

Modular Helmets: Versatile and Practical

Schuberth C5

The Schuberth C5 is a revolutionary modular helmet, offering outstanding noise reduction, supreme comfort, and ECE 22.06 certification. With a focus on touring, this helmet provides exceptional ventilation and durability, making it one of the best choices for long-distance riders.

Shoei Neotec 3

For those who want convenience without sacrificing safety, the Shoei Neotec 3 delivers. With a smooth flip-up mechanism, plush interior, and excellent airflow, this helmet is ideal for riders who value both practicality and performance. It’s also designed for easy integration with communication systems, perfect for group riding.

Adventure Helmets: Ready for Any Terrain

Nexx X.WED3

Adventure riders will appreciate the versatility of the Nexx X.WED3. Featuring a lightweight X-Matrix 2 shell, multiple vents for airflow, and an integrated sun visor, it’s built to tackle any terrain with ease. The helmet also offers compatibility with goggles and an adjustable peak for off-road adventures.

Arai Tour-X5

The Arai Tour-X5 is a rugged and adaptable adventure helmet designed for riders who want the best protection both on and off-road. With a removable peak, spacious visor aperture for enhanced visibility, and Arai’s legendary build quality, it’s an outstanding choice for long-distance adventure touring.

Budget-Friendly Helmets: Affordable and Reliable

HJC C10

The HJC C10 is one of the most budget-friendly helmets available that meets ECE 22.06 certification. Despite its affordable price, it offers solid protection, a comfortable interior, and a lightweight design, making it a fantastic option for new riders.

Axxis Draken S

Stylish, safe, and budget-friendly, the Axxis Draken S is designed for riders looking for affordability without compromising on quality. It provides a secure fit, good ventilation, and a sleek design that looks great on the road.

Scorpion EXO 391

A great everyday helmet, the Scorpion EXO 391 offers reliable protection at a competitive price. With ECE 22.06 certification and a comfortable interior, it’s an excellent choice for budget-conscious riders.

Premium Helmets: High-Performance Protection

Shoei X-SPR Pro

For serious racers and track-day riders, the Shoei X-SPR Pro is engineered for high-speed performance. It boasts advanced aerodynamics, superior impact protection, and wind tunnel-tested features for maximum stability.

Arai RX-7V Evo

The Arai RX-7V Evo is a premium racing helmet with top-tier safety features. Certified to ECE 22.06, it delivers an aerodynamic shell design, optimised ventilation, and a wide field of vision for high-speed riding.

Alpinestars Supertech R10

A newcomer to the premium helmet market, the Alpinestars Supertech R10 is designed for ultimate performance. With an ultra-lightweight carbon shell, innovative ventilation, and advanced impact protection, it’s a superb choice for riders pushing their limits on the road or track.

Why Buy Your Helmet from Moto Central?

At Moto Central, we offer an extensive selection of helmets catering to all riding styles and budgets. Our Leicestershire showroom provides a hands-on experience where you can try on different models with expert guidance to ensure the perfect fit. Here’s what you can expect when shopping with us:

A curated range of helmets from industry-leading brands

Expert advice to help you find the best fit for your riding needs

The latest ECE 22.06-certified helmets for maximum safety

Competitive pricing and flexible finance options

Tips for Choosing the Right Motorcycle Helmet

Selecting the right helmet is crucial for safety and comfort. Here are some key factors to consider:

Fit Matters: A helmet that doesn’t fit properly won’t protect you as intended. Make sure to get measured and try on different sizes.

Comfort is Key: If a helmet causes discomfort, it’s not the right one. Wear it for at least 10 minutes to check for pressure points.

Safety Standards: Look for ECE 22.06-certified helmets for the highest level of protection. SHARP ratings can provide additional insight.

Avoid Counterfeit Products: Always purchase from trusted retailers like Moto Central to ensure your helmet meets UK safety regulations.

Visit Moto Central Today

Choosing the right helmet is an essential decision for any rider. At Moto Central, we combine industry expertise, an extensive product range, and top-notch customer service to help you find the perfect helmet. Visit our Leicestershire showroom or shop online to explore the latest helmets from brands like Arai, Shoei, Schuberth, AGV, and more. Whether you’re after a high-performance racing helmet or a budget-friendly option, we’ve got you covered.

Your safety is our priority—ride safe with Moto Central.

Exclusive discounts available for Emergency Services, NHS Workers, Armed Forces Personnel, and Students.

[umflowers]

His other race is actually battle of the bricks at Indianapolis which I am also trying to go to hahaha. He might race at sebring in the lmp2 car if his sebring test goes well and if he does, I'm going to scramble to try and make it there as well. Kakunoshin actually has been racing in Super Formula, Super GT, and Super Taikyu! He had to drop Super GT this year due to his Imsa commitments though. He's not been anywhere very well known in the US until now! I love him dearly and believe in him so, so incredibly hard. While he's in America, I need to take every opportunity to watch him race. Just in case he doesn't come back for a while!

Oh that's great!!! I'm glad you'll be covered then 🩷 and that's also really good to know that they have options! Daytona was kind of a nightmare with getting around (though options were available it was just hard to get them). I'm a little apprehensive due to not knowing the track at all but it was similar with daytona and we ended up doing really well. And this race won't be 24 hours so theoretically I won't be exhausted afterwards hahaha.

oh i gotcha! i really wish i could watch super formula but i haven't been able to D: if you're u.s. american, do you happen to know if it's on motorsport.tv this year? i've been meaning to subscribe to it cuz i mean it's cheap, but it's hard to keep track of what they have the rights to year-on-year x_x; i understand why you'd wanna make sure to see him while he's here tho c: here's hoping he gets to race at sebring too!! so watkins is actually pretty easy, the town of watkins glen is really small and at the end of the longest of the finger lakes, like it's literally known among nascar drivers as their favorite track because it feels like being back home and they all stay in the little bed n breakfasts in random peoples' houses xD just make sure you get a hotel room so you don't end up in a fleatrap, because with the team members and everything they get snapped up quick when it's come race weekend time. corning, painted post, horseheads, and big flats are all within good driving distance and have good hotels. be careful of elmira, most of it's just fine but there are random neighborhoods and even single streets that have gangbangers - and avoid southside altogether. bath has some good hotels but also be careful, everything down there is small towns so nothing is dangerous per se, but bath is where newly released prisoners and SOs all go to get put up in section 8 so it has a uh. particular feel to it. ithaca's also not too far away and is just fine, but it has ithaca college AND cornell so there's lots of college kids which means partying and frathouses. the track's up on a hill (ain't everything down there) surrounded by nothing but fields and farmland and you're camping so you don't have to care about parking, but just be careful of the high likelihood of rain and mud in that part of new york :3 lastly, if you have the means cuz it's not big-city-restaurant-pricey but it's not cheap, i recommend seneca harbor station to everyone <3 it has amazing food and you can eat outside right next to the lake

[globosetech]

Video Box Annotation: Key to Object Tracking and Action Recognition

What is Video Box Annotation?

Video box annotation involves labeling objects within video frames using bounding boxes. This technique is essential for tasks like object tracking and action recognition in computer vision. By tracking objects across video frames, machine learning models can learn to recognize movements, behaviors, and activities over time.

How It Works

Annotators draw bounding boxes around objects in each video frame. These boxes are updated frame by frame to track object movement. The process can be done manually or with semi-automated tools, ensuring consistency across frames.

Applications

Object Tracking: Used in autonomous driving and robotics to track vehicles, pedestrians, and obstacles.

Action Recognition: Helps identify activities in sports or surveillance footage.

Gesture Recognition: Applied in gaming and sign language interpretation for tracking movements.

Benefits

Enhances model accuracy in object tracking and activity recognition.

Supports real-time applications like surveillance and autonomous navigation.

Improves AI's ability to recognize actions and predict movements.

Challenges

Time-consuming, especially for long videos or multiple objects.

Requires high accuracy to maintain consistency across frames.

Difficult in dynamic environments where objects overlap or move erratically.

Conclusion

Video box annotation is crucial for training AI models to understand and interpret video data, driving advancements in fields like autonomous driving, security, and sports analytics. Visit Here:

[globosetechnologysolution01]

Data Collection Image: Building Robust AI Systems with Globose Technology Solutions (GTS)

Introduction:

In essence, data is the groundwork of artificial intelligence innovation and machine learning. Image data amongst the various types of data retains a high importance, providing the driving force to multiple applications from facial recognition and autonomous vehicles to medical imaging and augmented reality. The collection of data for images is a deep-seated task, demanding precision, variability, and quality. In this domain, Globose Technology Solutions (GTS) is an innovative pioneer providing singular image data collection derivation services, catering to contemporary AI system requirements.

What is Image Data Collection?

Image data collection is the visual content acquisition process for training, testing, and validating AI models. This becomes instrumental in enabling AI systems to comprehend, interpret, and respond to visual information. Image data collection entails the collection of great many aspects:

Diversity: The datasets are to encompass different conditions, environments, and demographics.

Annotation: Annotation of literatures with metadata, such as object categories, coordinates, and characteristics.

Quality assurance: Verification as to the precision, relevance, and utility of the collected images.

A clear role for image data collection in AI

Enabling Sensing: Computer vision, a subfield of AI, centers on building image datasets concerning object detection, image segmentation, and pattern recognition.

Enabling Decision Making: Photo data helps make informed decisions in industries like healthcare and manufacturing, spanning everything from diagnosing diseases to tracking production lines.

Enabling User Experiences: Applications like augmented reality and e-commerce platforms providing virtual try-ons expect high-quality image data for seamless user experience.

Building Automation: Machine learning-based autonomous vehicles and drones rely on computerized vision to assist with the navigation, planning, and task-completion of an autonomous process with minimal human intervention.

Challenges in Image Data Collection

Volume and Diversity: Large amounts of diverse image data are needed for the delivery of fully able AI models across any given scenario, defense reports, augmentation reports, and many others. Many resources are devoted to the collection of such high-fidelity/detailed data.

Annotation Complexity: While adding accurate and relevant metadata to describe the images is very important, it is tedious, especially for large-scale datasets.

Ethical Considerations: Respecting privacy and obtaining consent from representatives while collecting data are the two most important strategies to avert ethical and legal issues.

Data Quality and Consistency: Maintaining accurate and consistent images collected is essential for reliably training the AI models.

How GTS Aces at Image Data Collection

Globose Technology Solutions (GTS) has carved itself a position in the market, providing high-quality image data collection services to counter issues with innovative solutions and expertise. Here are their strengths:

Portability and Variety: GTS uses its network to source images from across the world in different environments, demographics, and cultures.

Cutting the Edge: Fully integrated into many resident systems, AI-powered tools provide efficiency and precision through automatic metadata-based data collection.

Quality Annotation: GTS hires dedicated annotators who navigate images in detail while attaching annotations to enhance AI training efficiency.

Ethical Processes: GTS ethics are in line with laws designed around privacy and respect for the autonomy of data collection.

Quality Assurance: GTS implements rigorous rounds of checks to ensure the utmost quality of accuracy in the prepared dataset.

Applications of Image Data Collection

Image data collection finds its relevance in almost all facets of fields functioning:

Healthcare: Image data feeds into the AI systems for medical imaging purposes, leading to early diagnosis, treatment plan formation, and research.

Retail-E-Commerce: Good images drive AI systems for visual search of items, personalized recommendations, and inventory management.

Automotive Industry: Autonomous vehicles require image data for processes like object detection, lane recognition, and recognition of traffic signs.

Agriculture: With AI, image data is useful for monitoring the health of crops, early detection of pest invasion, and optimizing farming tasks.

Security and Surveillance: The use of image data in surveillance applications lies in facial recognition, threat detection, and monitoring.

Reasons to Go for Globose Technology Solutions (GTS)?

Globose Technology Solutions (GTS) is a prestigious name in the field of image data collection and provides unmatched expertise and wide-ranging resources. Here are a few reasons why businesses prefer GTS:

Custom-tailored Solutions: GTS understands that every AI project is unique from one another. Hence, it provides custom data collection services according to the needs of each project.

Innovative Methodologies: Utilizing next-generation technologies and processes, GTS ensures efficient and accurate data collection.

Full Suite of Support: GTS provides end-to-end solutions from data collection and annotation through quality checks to delivery.

Scalability: GTS's enormous infrastructure can handle projects of any scale, from minute dataset collections to massive datasets.

Client-Centricity: GTS places paramount importance on customer satisfaction, making it a point to keep in contact with organizations so that results consistently exceed expectations.

Future Outlook on Image Data Collection

With the evolution of AI over the years, the role of image data collection will grow to be very vital. The principal trends on an ascendant path are:

Synthetic Image Generation: Artificially generated images made to supplement the reality data-poor datasets.

Real-Time Data Collection: Transfer of live data prospectus that allows real-time image capturing.

Light Bias Consideration: The minimizing of bias accumulation into AI models through inclusive and diverse datasets.

IoT-Centric Data Acquisition: Utilizing IoT knotsets for persistent and contextual image data retrieval.

Globose Technology Solutions is on track to become the pacesetter in these technologies, aiming to fortify and help the companies adopt cutting-edge innovations.

Conclusion

Image data collection forms the bedrock upon which AI-related innovation thrives, facilitating businesses with solutions that are smarter, more efficient, and user-friendly. It is a trusted and reliable partner, Globose Technology Solutions, offering image data collection services that are reliable, open-ended, safe, and scalable. With the expertise exuded by GTS, organizations stand to gain from incorporating image data into their operations to unleash unthinkable fortunes and accomplish their goals.

To learn more about GTS's image data collection services, visit their official website at GTS.

[gtrsimulator1]

The World of Sim Racing: Where Virtual Roads Meet Real-World Thrills

Sim racing, short for simulation racing, has evolved from a niche hobby to a global phenomenon, blending cutting-edge technology with the timeless thrill of motorsport. As virtual driving experiences become increasingly realistic, sim racing attracts enthusiasts, professional racers, and gamers alike.

What is Sim Racing?

Sim racing uses sophisticated software and hardware to replicate the experience of driving real-world vehicles on iconic tracks. Unlike arcade-style racing games, simulators focus on realism—accurate physics, weather conditions, tire dynamics, and even track temperature variations are part of the challenge. Platforms like iRacing, Assetto Corsa, and rFactor 2 are among the most popular, offering an expansive range of cars and tracks that appeal to casual drivers and professionals.

Tools of the Trade

To fully immerse in sim racing, drivers often invest in specialized equipment. Key components include:

Racing Wheels and Pedals: High-quality devices that replicate the force feedback and tactile feel of real-world driving.

Cockpits and Seats: Sturdy frames that mimic the ergonomic setup of a race car.

VR and Triple-Screen Setups: For unparalleled immersion, sim racers use virtual reality headsets or multi-monitor setups to enhance the field of view.

Bridging the Gap to Real Racing

One of the most exciting aspects of sim racing is its ability to train and scout talent for real-world motorsports. Many professional drivers, such as Lando Norris and Max Verstappen, credit sim racing as a vital part of their training regimen. Additionally, sim racing competitions have paved the way for aspiring drivers to transition to physical race tracks through programs like Nissan's GT Academy.

Community and Competition

Sim racing is more than just a solitary pursuit. With online leagues, endurance events, and esports tournaments, the community is thriving. Platforms like YouTube and Twitch host live streams and tutorials, allowing racers to connect, compete, and share tips.

The Future of Sim Racing

As technology advances, Sim Racing Setup is poised to become even more immersive. Innovations in AI, haptic feedback, and cloud-based services are expanding accessibility while maintaining realism. The growing integration of sim racing into mainstream motorsport highlights its potential as a bridge between virtual and real-world racing.

[gts1234]

Unlocking the Power of AI with Precision: Bounding Box Annotation Services by GTS

Introduction

The need for proper and widespread data annotation has grown ever since the fast continuously developing AI environment came to exist. We at GTS are in the front line of suppliers creating superior bounding box annotation services in computer vision. By providing the computer with such multidimensional objects bound in rectangles, these annotations will help the machine learning model to accurately identify and locate the objects in the images, thus driving breakthroughs in diverse sectors of the economy.

The Importance of Bounding Box Annotation

Bounding box annotation is more than just drawing rectangles; it’s a critical process that fuels the accuracy and efficiency of AI models. This technique is fundamental in several key applications:

Object Detection: Whether through surveillance or autonomous driving, bounding box annotation enables AI systems to recognize multi-point objects in an image, and the ability to display the information based on this is just the beginning of computer vision applications such as pedestrian detection lists, and obstacle avoidance.

Image Classification: This process of sticking labels on the images according to the objects that are actually in the boxes is one of the ways to organize the database with a huge amount of visual data. The result of this process is the making of quicker and more accurate decisions, and the list would be a lot longer.

Object Tracking: Bounding box annotation is the only way that makes it possible to trace an object across several video frames, which can be applied in the fields of video surveillance, sports analytics, and real-time monitoring in general.

Robotics: In robotics, bounding box annotations are the ones that robots can use to identify and respond to objects in their environment, which could be the key to them executing their tasks on their own.

Augmented Reality (AR): AR applications that can apply bounding box annotations to recognize objects and put useful information on them are not only fun, but they also immerse the users in the online and physical worlds like never before.

Industries We Serve

Our bounding box annotation services cater to a wide range of industries, each benefiting from our precise and reliable annotations:

Automotive: For Advanced Driver Assistance Systems (ADAS) and autonomous driving, our services help in accurately detecting vehicles, pedestrians, and obstacles, ensuring safer and more reliable navigation.

Retail: From automated checkout systems to inventory management, object recognition powered by bounding box annotations enhances operational efficiency in the retail sector.

Healthcare: In the medical field, our services are crucial for detecting abnormalities in imaging, such as X-rays and MRIs, aiding in early diagnosis and treatment.

Agriculture: We assist in identifying crop diseases, pests, and assessing crop health, contributing to more effective and sustainable agricultural practices.

Security and Surveillance: Real-time threat detection and monitoring rely heavily on our bounding box annotations, ensuring safety and security in various environments.

Drones: Our services excel in object tracking and landscape analysis for both commercial and recreational drone applications, enhancing the capabilities of drone technology.

Why Choose GTS?

At GTS, we pride ourselves on delivering excellence in every project. Here’s what sets our bounding box annotation services apart:

Scalability: We handle large-scale projects without compromising on quality, making us the go-to choice for businesses of all sizes.

Accuracy: Our rigorous quality assurance process ensures that every annotation meets the highest standards of precision.

Custom Solutions: We understand that each project is unique, so we tailor our services to meet the specific needs of our clients, delivering optimal results every time.

Data Security: We prioritize the confidentiality and protection of your data, ensuring that it remains secure throughout the entire annotation process.

Conclusion

As AI continues to evolve, the need for accurate and scalable data annotation services will only grow. At GTS, we are committed to staying at the forefront of this industry, providing our clients with the precision and reliability they need to succeed. Whether you’re in automotive, retail, healthcare, or any other sector, our bounding box annotation services are designed to meet your needs and exceed your expectations.

[zoeivy]

How to DownloadNative Instruments Studio FX

If you’re a music producer or audio engineer seeking top-tier effects to elevate your productions, Native Instruments Studio FX is an essential addition to your toolkit. This comprehensive suite of audio effects is designed to integrate seamlessly with popular music production software, delivering pristine sound quality and versatile functionality. Here’s how to download and install Native Instruments Studio FX on both MAC and Windows systems.

Why Choose Native Instruments Studio FX?

Native Instruments, a pioneer in the field of music software, has consistently set the standard for virtual instruments and effects. Their products are widely used by industry legends such as Kraftwerk, Brian Eno, and Depeche Mode, and their FX suite is no exception. The Studio FX collection includes 15 meticulously crafted effects that cover a wide range of needs, from dynamic processing to reverb and equalization. These tools are designed to push the boundaries of creativity and provide professionals with the high-quality sound they require.

Tech Specs for Native Instruments Studio FX

Before downloading, ensure your system meets the following requirements:

For MAC:

OS Requirements: OS X 10.14 or later, compatible with M1 and M2 chips.

Hardware Requirements: Intel or Apple Silicon Multi-core CPU, minimum 4GB RAM.

Supported Formats: VST, AU.

For Windows:

Hardware Requirements: Intel or AMD Multi-core CPU, minimum 4GB RAM.

Supported Formats: VST.

Downloading and Installing Native Instruments Studio FX

Visit the Download Page: Head over to Kalaplugins to download the Native Instruments Studio FX suite.

Choose Your Platform: Select the appropriate download link for your operating system (MAC or Windows).

Download the Installer: Once you’ve selected your platform, the download should begin automatically. Save the installer to a convenient location on your computer.

Run the Installer:

For MAC: Open the downloaded .dmg file and follow the on-screen instructions to install the software.

For Windows: Run the downloaded .exe file and follow the installation wizard.

Activate Your Software: After installation, you will need to activate your software. Native Instruments Studio FX comes with a lifetime activation license, ensuring you won’t need to worry about future renewals or additional fees.

Included Effects

The Native Instruments Studio FX suite includes an array of powerful effects:

Solid Mix Series: Solid Bus Comp, Solid Dynamics, Solid EQ.

Reverb Classics: RC 24, RC 48.

Vintage Compressors: VC 160, VC 2A, VC 76.

Premium Tube Series: Enhanced EQ, Passive EQ, Vari Comp.

Others: Driver, Supercharger, Supercharger GT, Transient Master.

Each of these effects has been updated to version 1.4, ensuring you have the latest features and improvements at your fingertips.

Final Thoughts

Downloading Native Instruments Studio FX is a straightforward process that opens up a world of high-quality sound processing for your music projects. Whether you’re refining the mix of a new track or exploring innovative soundscapes, this suite of effects provides the tools you need to achieve professional results. Don’t miss out on the opportunity to enhance your productions with one of the most respected names in music software. Download your copy today from Kalaplugins and start transforming your sound.

By following these steps, you can easily integrate Native Instruments Studio FX into your music production workflow and take advantage of its powerful features and renowned sound quality.

[globosetechnologysolutins]

Harnessing the Power of Image Datasets: Revolutionising AI Applications

In today's data-driven world, the importance of image datasets cannot be overstated. As artificial intelligence (AI) continues to permeate various aspects of our lives, from healthcare to autonomous vehicles, the need for high-quality, diverse image datasets has become paramount. These datasets serve as the foundation upon which AI models are trained, enabling them to accurately recognize, interpret, and respond to visual information.

An image dataset typically consists of a large collection of images, each labelled with relevant metadata such as object categories, attributes, or spatial annotations. These labels provide crucial context for training AI algorithms, allowing them to learn the underlying patterns and relationships within the data.

One of the most significant challenges in building image datasets is ensuring diversity and representativeness. A well-curated dataset should encompass a wide range of scenarios, backgrounds, lighting conditions, and perspectives to ensure robustness and generalisation of AI models. Moreover, datasets must be annotated accurately and consistently to facilitate effective learning and evaluation.

The applications of image datasets span across numerous domains, driving innovation and advancement in AI technology. In healthcare, for instance, image datasets play a pivotal role in medical imaging analysis, assisting radiologists in diagnosing diseases such as cancer, Alzheimer's, and cardiovascular disorders. By training AI models on large-scale datasets of medical images, researchers can develop algorithms capable of detecting subtle abnormalities with high accuracy, potentially improving patient outcomes and reducing healthcare costs.

In the realm of autonomous vehicles, image datasets are indispensable for enabling vehicles to perceive and understand their surroundings. By leveraging datasets containing millions of annotated images captured in diverse driving conditions, AI systems can learn to identify pedestrians, vehicles, traffic signs, and road markings, thus enhancing the safety and reliability of autonomous driving technology.

Furthermore, image datasets are driving innovations in fields such as agriculture, retail, manufacturing, and environmental monitoring. In agriculture, for example, drones equipped with cameras capture aerial images of crops, allowing farmers to monitor plant health, detect pests and diseases, and optimise crop yields. Similarly, in retail, image datasets are used to develop AI-powered systems that analyse customer behaviour, track inventory levels, and enhance the shopping experience.

Despite their undeniable benefits, building and maintaining image datasets pose several challenges. Data privacy and security concerns must be carefully addressed to ensure the ethical use of sensitive information. Additionally, the process of manually annotating large volumes of images can be time-consuming and labour-intensive, necessitating the development of automated annotation tools and crowd-sourcing platforms.

In conclusion, image datasets represent a cornerstone of AI development, fueling progress and innovation across various domains. By harnessing the power of these datasets, researchers and practitioners can unlock new capabilities and applications that have the potential to transform industries and improve lives. However, it is essential to address the challenges associated with dataset collection, annotation, and usage to ensure responsible and ethical AI development.

[evoldir]

Fwd: Job: StateUNewYork_Oswego.FishGenomics

Begin forwarded message: > From: evoldir@evol.biology.mcmaster.ca > Subject: Job: StateUNewYork_Oswego.FishGenomics > Date: 24 April 2024 at 07:01:49 BST > To: rdmpage@gmail.com > > > The SUNY Oswego Biological Sciences Department, in collaboration with the > USGS, USFWS Northeast Fishery Center, and Ontario Ministry of Natural > Resources, seeks a research scientist to lead the development of a > high-throughput genomic monitoring and parentage-based tagging (PBT) > panel for Cisco (*Coregonus artedi*) and Bloater (*Coregonus hoyi*). This > urgent work directly supports the active restoration of these ecologically > and culturally important fish species. To learn more about coregonine > research in the Great Lakes, visit https://ift.tt/yw1jxFf > to learn more about ongoing efforts. > > This project will develop and optimize a novel microhaplotype-based > GT-seq panel for genomic monitoring and PBT applications in coregonines > (Cisco, Bloater). It will assess the panel's accuracy in tracking changes > in genetic diversity over time, estimating demographic parameters, > and reconstructing pedigrees. This panel will generate crucial data to > effectively manage coregonine broodstock, hatchery-rearing practices, > and stocking strategies. > > The successful applicant will work at the forefront of conservation > genetics with an exceptional collaborative team. They will gain experience > in genomic techniques, data analysis, and the application of science to > management problems. A competitive salary and benefits package is offered, > and remote work is negotiable. > > > > *Qualifications* > MS. or Ph.D. in ecology, evolutionary biology, genetics, genomics, or a > related field (start date) > > Demonstrated expertise in molecular biology lab techniques and > bioinformatics. > > A commitment to collaboration and science communication. > > A strong publication record is preferred. > > > Applications will include 1) A cover letter describing research interests > and their alignment with the project's goals; 2) a CV highlighting relevant > coursework, research experience, and publications; 3) A Diversity, Equity, > and Inclusion Statement; 4) Contact information for three professional > references. > > > > Please submit applications at > https://ift.tt/8kBld1Z > > Nicholas Sard

[sportsufc24]

Experience the Thrill: Daytona International Speedway Live

Nestled in the heart of Daytona Beach, Florida, lies a legendary venue that pulsates with the adrenaline of motorsport enthusiasts worldwide - the Daytona International Speedway.

Watching: http://tinyurl.com/55v8du56 For decades, this iconic racetrack has been a focal point for speed demons and racing aficionados, hosting some of the most exhilarating events in the world of motorsports. Now, as the excitement ramps up for another season of high-speed action, fans eagerly await the opportunity to witness the spectacle firsthand, to feel the roar of engines, and to be part of racing history at Daytona International Speedway Live.

The Legacy of Daytona International Speedway: Since its inception in 1959, Daytona International Speedway has been synonymous with speed, innovation, and unparalleled racing experiences. From the prestigious Daytona 500, the crown jewel of NASCAR, to the Rolex 24 At Daytona, one of the most grueling endurance races globally, this hallowed ground has seen countless historic moments unfold on its asphalt. With a seating capacity of over 101,000 and state-of-the-art facilities, the Speedway provides an unmatched setting for fans to immerse themselves in the electrifying atmosphere of live motorsport.

The Daytona 500: A Spectacle Like No Other: At the pinnacle of racing events stands the Daytona 500, often dubbed the "Great American Race." Held annually in February, this premier NASCAR event attracts drivers from across the globe, all vying for glory on the 2.5-mile tri-oval track. From the thunderous roar of engines to the nail-biting finishes, the Daytona 500 captivates millions of viewers worldwide, making it a must-watch spectacle for motorsport enthusiasts and casual fans alike. For those fortunate enough to secure tickets to Daytona International Speedway Live, the experience is nothing short of unforgettable, as they witness history being made lap by lap.

The Rolex 24 At Daytona: Endurance and Excellence: For endurance racing aficionados, the Rolex 24 At Daytona is the ultimate test of skill, strategy, and stamina. Held annually in January, this 24-hour marathon sees a diverse field of drivers and teams competing in various classes, from sleek prototypes to high-performance GT cars. As day turns to night and back again, the Speedway comes alive with the sights and sounds of racing under the stars, offering fans a unique and exhilarating experience found only at Daytona International Speedway Live.

Beyond the Track: Entertainment and Attractions: While the racing action takes center stage, Daytona International Speedway offers much more than just thrilling motorsport events. Throughout the year, the Speedway hosts an array of concerts, festivals, and fan experiences, ensuring there's something for everyone to enjoy. From behind-the-scenes tours to interactive exhibits showcasing racing history, fans can immerse themselves in the rich heritage of Daytona International Speedway, making memories that last a lifetime.

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Wearable Technology Market Is Anticipated To Attain Around $186.14 Billion By 2030

The global wearable technology market size is expected to reach USD 186.14 billion by 2030, expanding at a CAGR of 14.6% from 2023 to 2030, according to a new report by Grand View Research, Inc. Due to its numerous functions in the healthcare, consumer electronics, and industrial sector wearable technology is becoming more and more popular among consumers. The rapid advancement of technologies, including GPS and RFID for location monitoring and health tracking, is predicted to boost industry growth during the forecast years. Consumers are becoming more aware of wearable technology as a result of its many uses in fields like consumer electronics, healthcare, and e-commerce. The industry is expected to gain traction as a result of the quick development of technologies like Radio Frequency Identification (RFID) and GPS for position monitoring and health tracking.

Users can answer calls and check messages on wearable gadgets without having to take out their phones. In addition, factors that are expected to attract customers and increase the demand for smart wearables include in-store merchandising and the simplicity of making payments using wearables. An increase in public awareness about health and fitness also supports the industry's expansion. Moreover, many firms are focusing on launching new smartwatches with innovative capabilities that assist users to manage their health and exchanging data with doctors in real-time. This would positively impact the industry's growth. For instance, in May 2022, Huawei Technologies Group Co. Ltd. unveiled Watch GT 3 Pro, a wearable device with a heart rate monitor, GPS, and a health monitoring system integrated with it. This launch is anticipated to boost the company’s market position and enable it to attract new clients.

Rising health concerns due to COVID-19 are anticipated to spur the demand for smartwatches as these devices have features like pulse oximeters, heart rate & skin temperature monitors, and others that can assist users to identify coronavirus symptoms. Studies from medical and academic institutions, including Mount Sinai Health System in New York and Stanford University in California, have shown that smartwatches by companies like Garmin Ltd., Fitbit, and Apple Inc. can identify COVID-19 infection even before symptoms appear. The majority of wearable technology devices store data about a person’s health, lifestyle, and daily activities on a connectivity carrier’s network or that of a third-party vendor, opening the door for security breaches, which is a significant issue that may restrain the growth of the overall market.

The global wearable technology market size is expected to reach USD 186.14 billion by 2030, expanding at a CAGR of 14.6% from 2023 to 2030, according to a new report by Grand View Research, Inc. Due to its numerous functions in the healthcare, consumer electronics, and industrial sector wearable technology is becoming more and more popular among consumers. The rapid advancement of technologies, including GPS and RFID for location monitoring and health tracking, is predicted to boost industry growth during the forecast years. Consumers are becoming more aware of wearable technology as a result of its many uses in fields like consumer electronics, healthcare, and e-commerce. The industry is expected to gain traction as a result of the quick development of technologies like Radio Frequency Identification (RFID) and GPS for position monitoring and health tracking.

Users can answer calls and check messages on wearable gadgets without having to take out their phones. In addition, factors that are expected to attract customers and increase the demand for smart wearables include in-store merchandising and the simplicity of making payments using wearables. An increase in public awareness about health and fitness also supports the industry's expansion. Moreover, many firms are focusing on launching new smartwatches with innovative capabilities that assist users to manage their health and exchanging data with doctors in real-time. This would positively impact the industry's growth. For instance, in May 2022, Huawei Technologies Group Co. Ltd. unveiled Watch GT 3 Pro, a wearable device with a heart rate monitor, GPS, and a health monitoring system integrated with it. This launch is anticipated to boost the company’s market position and enable it to attract new clients.

Rising health concerns due to COVID-19 are anticipated to spur the demand for smartwatches as these devices have features like pulse oximeters, heart rate & skin temperature monitors, and others that can assist users to identify coronavirus symptoms. Studies from medical and academic institutions, including Mount Sinai Health System in New York and Stanford University in California, have shown that smartwatches by companies like Garmin Ltd., Fitbit, and Apple Inc. can identify COVID-19 infection even before symptoms appear. The majority of wearable technology devices store data about a person’s health, lifestyle, and daily activities on a connectivity carrier’s network or that of a third-party vendor, opening the door for security breaches, which is a significant issue that may restrain the growth of the overall market.

 Request a free sample copy or view the report summary: Wearable Technology Market Report

Wearable Technology Market Report Highlights

The eyewear & headwear segment is anticipated to register the second-fastest growth rate. The segment’s expansion is aided by the rising use of smart headwear and VR/AR headsets in the entertainment and healthcare sectors

Increased attention on fitness and health due to the pandemic and easy access to technology are driving the North America regional market

Consumers who purchase smart wearables, such as smart apparel, smart footwear and smartwatches do so primarily to use the products to track their health and fitness. By 2020, the WHO predicted that the incidence of chronic diseases would increase by 73%

In 2022, the consumer electronics sector led the industry. Consumer electronics have a wide range of uses, such as for communication and entertainment. Devices that track a person’s working hours are being developed by industry participants due to high demand. In addition, the growth of connected devices and machine-to-machine communication is expected to support the market growth

Several businesses are concentrating on releasing the newest wearable technology goods, including smart glass, smart helmets, smart rings, and more. In addition, they are undertaking activities, such as mergers and acquisitions

Wearable Technology Market Segmentation

Grand View Research has segmented the global wearable technology market based on product, application, and region:

Wearable Technology Product Outlook (Revenue, USD Million, 2018 - 2030)

Wrist-Wear

Eyewear & Headwear

Footwear

Neckwear

Body-wear

Others

Wearable Technology Application Outlook (Revenue, USD Million, 2018 - 2030)

Consumer Electronics

Healthcare

Enterprise & Industrial Applications

Others

Wearable Technology Regional Outlook (Revenue, USD Million, 2018 - 2030)

North America

U.S.

Canada

Europe

U.K.

Germany

France

Rest of Europe

Asia Pacific

China

India

Japan

Rest of Asia Pacific

Latin America

Brazil

Mexico

Rest of Latin America

Middle East & Africa

List of Key Players in Wearable Technology Market

Alphabet, Inc.

Samsung Electronics Co., Ltd.

Sony Corp.

Huawei Technologies Group Co., Ltd.

Apple, Inc.

Xiaomi Corp.

Adidas AG

Nike, Inc.

Fitbit, Inc.

Garmin Ltd.

Wearable Technology Market Report Highlights

The eyewear & headwear segment is anticipated to register the second-fastest growth rate. The segment’s expansion is aided by the rising use of smart headwear and VR/AR headsets in the entertainment and healthcare sectors

Increased attention on fitness and health due to the pandemic and easy access to technology are driving the North America regional market

Consumers who purchase smart wearables, such as smart apparel, smart footwear and smartwatches do so primarily to use the products to track their health and fitness. By 2020, the WHO predicted that the incidence of chronic diseases would increase by 73%

In 2022, the consumer electronics sector led the industry. Consumer electronics have a wide range of uses, such as for communication and entertainment. Devices that track a person’s working hours are being developed by industry participants due to high demand. In addition, the growth of connected devices and machine-to-machine communication is expected to support the market growth

Several businesses are concentrating on releasing the newest wearable technology goods, including smart glass, smart helmets, smart rings, and more. In addition, they are undertaking activities, such as mergers and acquisitions

Wearable Technology Market Segmentation

Grand View Research has segmented the global wearable technology market based on product, application, and region:

Wearable Technology Product Outlook (Revenue, USD Million, 2018 - 2030)

Wrist-Wear

Eyewear & Headwear

Footwear

Neckwear

Body-wear

Others

Wearable Technology Application Outlook (Revenue, USD Million, 2018 - 2030)

Consumer Electronics

Healthcare

Enterprise & Industrial Applications

Others

Wearable Technology Regional Outlook (Revenue, USD Million, 2018 - 2030)

North America

U.S.

Canada

Europe

U.K.

Germany

France

Rest of Europe

Asia Pacific

China

India

Japan

Rest of Asia Pacific

Latin America

Brazil

Mexico

Rest of Latin America

Middle East & Africa

List of Key Players in Wearable Technology Market

Alphabet, Inc.

Samsung Electronics Co., Ltd.

Sony Corp.

Huawei Technologies Group Co., Ltd.

Apple, Inc.

Xiaomi Corp.

Adidas AG

Nike, Inc.

Fitbit, Inc.

Garmin Ltd.