object detection for autonomous car
تفاصيل العمل
This project presents a cleaned, enhanced, and YOLO-ready version of the popular BDD100K traffic dataset, tailored for high-performance object detection models. Key Enhancements & Processing Added higher-resolution images to improve the quality and balance of traffic-related object classes. Focused on six critical classes: train, bike, motor, rider, traffic sign, and traffic light. Removed: All bounding boxes smaller than 10% of the average class size. Duplicate images and inconsistent labels. Samples with missing images or annotations. Verified YOLO-format compatibility and annotation integrity. Trained yolov11s achieved map 50 : 82% dataset size 115k images tested on realtime problems in different cases
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