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Structured data containers that encapsulate complex model outputs like bounding boxes and masks for programmatic access.
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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. By utilizing a modular architecture, the platform allows users to swap model components to balance inference speed and accuracy requirements for diverse applications. The framework distinguishes itself through its support for real-time processing and flexible deployment. It in
Encapsulates bounding boxes, masks, and keypoints into accessible objects to simplify programmatic interaction with model outputs.