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Tools for calculating performance metrics such as mean average precision for pixel-level image segmentation tasks.
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Ultralytics is a comprehensive computer vision framework designed for training, validating, and deploying deep learning models across a wide range of visual recognition tasks. It provides a unified interface for core operations including object detection, instance segmentation, pose estimation, and image classification
Validates segmentation accuracy by calculating performance metrics such as mean average precision for masks and boxes.