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Custom YOLO11m model for detecting and classifying car body damage (99% shattered glass, 96% flat tire detection accuracy)—optimized for high-capacity inference and assistive use in inspection and service workflows like BMW pre-loaner inspections.
A Computer Vision project using YOLO11n for detecting and counting fruits and vegetables in an image or a video stream. It sends Telegram alerts if the item count drops below 5 for more than 5 seconds.