pothole_detection_yolov8 and POT-HOLE-DETECTION-YOLOV5

pothole_detection_yolov8
41
Emerging
POT-HOLE-DETECTION-YOLOV5
23
Experimental
Maintenance 0/25
Adoption 7/25
Maturity 16/25
Community 18/25
Maintenance 0/25
Adoption 6/25
Maturity 8/25
Community 9/25
Stars: 34
Forks: 13
Downloads: —
Commits (30d): 0
Language: Jupyter Notebook
License: MIT
Stars: 18
Forks: 2
Downloads: —
Commits (30d): 0
Language: Jupyter Notebook
License: —
Stale 6m No Package No Dependents
No License Stale 6m No Package No Dependents

About pothole_detection_yolov8

mounishvatti/pothole_detection_yolov8

Pothole Detection using Ultralytics YOLOv8.

This project helps civil engineers and city planners identify road damage efficiently. It takes images or videos of roads as input and highlights the locations of potholes, allowing for quick assessment of road conditions. This tool is ideal for maintenance teams or organizations responsible for infrastructure upkeep.

road-maintenance infrastructure-inspection city-planning damage-assessment

About POT-HOLE-DETECTION-YOLOV5

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.

road-maintenance city-planning infrastructure-management public-works defect-detection

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