An average human observes the things and events in the surroundings. Depending on the purpose, we can differentiate between objects, determine their distance from us and other objects, and spot errors. Similarly,computer vision training data allows AI-powered machines to train themselves to perform these tasks. The machines achieve this through cameras, algorithms, and data. However, computers, unlike humans, do not exhaust. You can train computer vision-powered machines to analyze thousands of production assets or products in minutes. Computer vision is paving its way in every sector, from manufacturing to healthcare and traffic flow analysis. This blog will dive deep into understanding computer vision, its workings, advantages, and importance.

Computer Vision Training data includes annotations like bounding boxes, segmentation masks, and classification labels.



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