Car Damage Detection
Real-time web app detecting and localizing 8 vehicle damage categories.
- CLIENT
Real-time web app detecting and localizing 8 vehicle damage categories.
- SCOPE
Real-time web app detecting and localizing 8 vehicle damage categories.
- RELEASE
Real-time web app detecting and localizing 8 vehicle damage categories.
- WEBSITE
- https://github.com/dimplebhardwaj2/car-damage-detection-main
- CREDIT
- Project manager
- AI / ML Engineer
- Director
- Computer Vision
- Art Director / Designer
- Python, YOLOv11, Ultralytics, OpenCV, Gradio
- Frontend Engineer
- 2025
Real-time web app detecting and localizing 8 vehicle damage categories.Real-time web app detecting and localizing 8 vehicle damage categories.Real-time web app detecting and localizing 8 vehicle damage categories.
Developed an end-to-end Car Damage Detection web app using YOLOv11, Ultralytics, OpenCV, and Gradio to detect and localize 8 vehicle damage categories in real time.
Fine-tuned a YOLOv11 object-detection model using a two-stage transfer-learning pipeline, achieving 0.776 mAP@0.5 and 0.600 mAP@0.5:0.95.
Built an interactive inference interface with configurable confidence thresholds, annotated visualizations, and CSV/YOLO label export for retraining workflows.
.png)
Developed an end-to-end Car Damage Detection web app using YOLOv11, Ultralytics, OpenCV, and Gradio to detect and localize 8 vehicle damage categories in real time.
.png)
Fine-tuned a YOLOv11 object-detection model using a two-stage transfer-learning pipeline, achieving 0.776 mAP@0.5 and 0.600 mAP@0.5:0.95.
.png)
.png)
Built an interactive inference interface with configurable confidence thresholds, annotated visualizations, and CSV/YOLO label export for retraining workflows.
.png)
Developed an end-to-end Car Damage Detection web app using YOLOv11, Ultralytics, OpenCV, and Gradio to detect and localize 8 vehicle damage categories in real time.
