Tanwar-12/POT-HOLE-DETECTION-YOLOV5
This dataset could be used for automatically finding and categorizing potholes in city streets so the worst ones can be fixed faster.
This project helps city operations and public works teams automatically identify and categorize potholes from street images, accelerating repair efforts. By inputting street-level photographs, it outputs detections of potholes, allowing maintenance crews to prioritize and fix the most critical ones faster. City planners and road maintenance managers would find this valuable for efficient infrastructure upkeep.
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Use this if you need to quickly scan street imagery to find and prioritize potholes for repair, improving road safety and maintenance efficiency.
Not ideal if you require a system that differentiates between various types of road damage beyond just potholes, or if you need to analyze data from sensors other than cameras.
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Last pushed
Aug 05, 2024
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