基于YOLO模型的路面缺陷检测(Road Damage Detection)
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Updated
May 10, 2025 - Python
基于YOLO模型的路面缺陷检测(Road Damage Detection)
A machine learning project designed to detect road damage from images, leveraging deep learning and computer vision techniques for efficient and accurate damage detection.
PyTorch implementation of EfficientDet (D0, D2, D3) for Road Damage Detection on RDD2022 dataset. Includes K-Medoids anchors, DDP training, and COCO evaluation.
AI Pothole Detection and Mapping with YOLO (RTX 4050 + Colab T4)
Road damage detection with YOLO26 on RDD2022: cracks and potholes across countries, with a Norway fine-tuning study.
AI-powered road damage detection and road health assessment using YOLO, Streamlit, and GPS visualization.
🦋 — A web-based platform designed for reporting road damage with a dashboard and various other useful features to streamline the process of public reporting.
To associate your repository with the road-damage topic, visit your repo's landing page and select "manage topics."