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Object Detection Using YOLO (Ultralytics) & OpenCV
Extracted frames from videos to create a large-scale image dataset. Performed data cleaning and keypoint annotation for improved model training.
Utilized transfer learning with YOLOv11n for high-accuracy object detection. Trained the model for 200 epochs, optimizing performance and saving the best model as best.pt.
Deployed AI inference for real-time object detection applications.
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