anki23

[anki23]

How does Machine Learning work for Image recognition on Facebook?

Introduction

With more than 2.91 billion active monthly users, Facebook can be termed as a global phenomenon more than just being a social networking site. Facebook users share a billion photos everyday. This makes Facebook one of the largest growing repositories of images.

Now, how does machine learning fit into all this? Let's understand.

Understanding Images by Facebook

Facebook’s growth and success have majorly been dependent upon photos, they also offer the company with unique opportunities, limitations, and challenges to expand. It is better for Facebook to understand how users utilize their time and kinds of content they most likely find interesting by segregating the photos that users upload and engage with.

Since the company has recently seen a downsurge in their revenues, it is crucial for the company to bring in something new for its users to increase their value. Powerful image recognition technology will help Facebook to gather more significant data about its users, which can then be monetized by Facebook allowing its advertisers to strategically target content.

Now, what is Image Recognition? Let us understand that.

Also Read: Bagging and Boosting in Machine Learning

Image Recognition

Image recognition can refer to technologies that help in identifying people, places, objects, logos, buildings, and multiple other variables in digital images. It may be very easy for humans to recognise and differentiate between various images. But it may not be so easy and simple for a computer.

Image recognition is different from object detection where it deals with identifying the images and categorizing them into various classes, rather than just analyzing them and finding different objects.

How Machine Learning is performing Image Recognition for Facebook?

Facebook employs machine learning to identify and recognize people, objects, and even emotions in images automatically, which allows it to offer users with more relevant captions, tags, and recommendations.

Facebook has built and deployed Rosetta, a large-scale machine learning system. It extracts text from billions of Facebook images everyday, and inputs it into a text recognition model that has been trained to comprehend the context of the image and the text together.