A custom YOLOv8 helmet-detection model trained for 100 epochs using a Roboflow dataset. Includes scripts for real-time image and video detection with bounding boxes, confidence scores, and object tracking with persistent IDs for accurate rider safety monitoring.
python opencv tracking machine-learning computer-vision deep-learning image-processing video-processing object-detection custom-model ai-project real-time-detection helmet-detection roboflow ultralytics yolov8 safety-ai dataset-training
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Updated
May 9, 2026 - Python