#scene_segmentation

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An introduction to Computer Vision

Computer Vision with deep learning is another advanced technique that employs neural networks to process and analyze visual data, such as images and videos. With deep learning, Computer Vision has become more accurate and sophisticated, enabling machines to perform highly accurate tasks such as object detection, image recognition, facial recognition, and scene segmentation. CNNs are the most commonly used deep learning models in Computer Vision because they can extract features from images and learn spatial relationships between objects.

Computer Vision applications based on deep learning have numerous practical applications in various industries, including healthcare, automotive, retail, and security. Some examples include self-driving cars, medical image analysis, surveillance systems, and augmented reality. The advancements in deep learning have enabled machines to understand the world through visual data, making computer vision an essential component in developing intelligent systems.

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