GitHub / collabdoor / Road-Anomaly-Detection
Detect road anomalies such as cracks, potholes, and bumps using our trained YOLOv8 models with visual demo. Real-time detection via Streamlit and Flask app
JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/collabdoor%2FRoad-Anomaly-Detection
Stars: 3
Forks: 0
Open issues: 0
License: apache-2.0
Language: TypeScript
Size: 232 MB
Dependencies parsed at: Pending
Created at: 25 days ago
Updated at: 5 days ago
Pushed at: 5 days ago
Last synced at: 5 days ago
Topics: cnn-for-visual-recognition, cnn-model, computer-vision, crack-detection, cv-projects, deep-learning, flask, object-detection, pothole-detection, road-anomaly-detection, road-damage-detection, road-safety, streamlit, yolov8, yolov8m