基于YOLO模型的路面缺陷检测(Road Damage Detection)
-
Updated
May 10, 2025 - Python
基于YOLO模型的路面缺陷检测(Road 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.
A machine learning project designed to detect road damage from images, leveraging deep learning and computer vision techniques for efficient and accurate damage detection.
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."