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Computer vision (CV) is a branch of AI that enables machines to interpret visual information such as images and video. Core tasks include image classification, object detection and tracking, semantic segmentation, pose estimation, and optical character recognition (OCR).
Modern CV systems are largely based on deep learning and rely on large labeled datasets to learn mappings from raw data to meaningful outputs.
CV is widely applied in autonomous driving, medical imaging, industrial inspection, and face recognition. Advances often track improvements in model architectures and in the scale and quality of vision training data.

Computer vision object detection in traffic scene

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