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.

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.

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Computer vision explained. We break down how AI computer vision works, its rise, applications, bias, and challenges.

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

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