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Learning Path
Image Processing Fundamentals → Video Object Detection
This advanced graduate-level path equips CV practitioners with a systematic understanding of object detection, from classical sliding-window approaches to modern deep learning detectors like R-CNN, YOLO, and SSD. It covers essential prerequisites in machine learning and computer vision, core detection paradigms, evaluation metrics, and practical application to video.
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14 learning steps · 3 phases. Click any step to inspect it and see it on the Knowledge Map.