Some of the most common applications of machine learning in computer vision include image classification, object detection, and segmentation.

Segmentation is a core task within computer vision that enables AI models to recognize objects they’re looking at in a given image.

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Image segmentation is a process in computer vision that involves dividing an image into multiple segments or regions, each representing a specific object or area of interest.

Over the past decades, computer scientists have developed many computational tools that can analyze and interpret images.

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Meta's Segment Anything Model allows for more accurate and efficient identification and labeling within visual media, which some have labeled a "groundbreaking" advancement.

From super-resolution smartphone cameras to vehicles that can anticipate human movement, computer vision is undergoing a ...