ebeyabraham/car-damage-detection
Detectron2 for car damage detection using custom dataset
Implements instance segmentation to precisely localize and delineate damaged regions rather than simple bounding box detection. The custom dataset was annotated using VGG Image Annotator (VIA) and leverages Detectron2's pre-trained backbone for transfer learning on the damage segmentation task.
No commits in the last 6 months.
Stars
28
Forks
3
Language
Jupyter Notebook
License
—
Category
Last pushed
Jun 07, 2021
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/ebeyabraham/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,...
machichiotte/machi08_damage-control-ai
🤖 AI-powered car damage assessment platform. Automating insurance claims with 3D Depth Vision,...
migueltrujillo07/water-puddle-detection-paper
Water puddle detection on roads using YOLO-based object detection for driver-assistance and...