lintosunny/car-damage-detection
Deep learning-based web app that uses a Convolutional Neural Network (CNN) to detect and classify car damage. Built with Streamlit (frontend) and FastAPI (backend).
No commits in the last 6 months.
Stars
—
Forks
—
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Jul 21, 2025
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/lintosunny/car-damage-detection"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
artemxdata/Car-Damage-Assessment-AI
Computer Vision system for automatic car damage detection and assessment
Mostafa-Hesham1/Vehicle-Souq
AI-powered platform for Egypt's used car market featuring vehicle recognition (94.41% accuracy),...
RBoabeng/infrastructure-defect-detection-yolo
An automated Computer Vision pipeline using YOLOv8 to detect structural defects (cracks,...
migueltrujillo07/water-puddle-detection-paper
Water puddle detection on roads using YOLO-based object detection for driver-assistance and...
machichiotte/machi08_damage-control-ai
🤖 AI-powered car damage assessment platform. Automating insurance claims with 3D Depth Vision,...