title	emoji	colorFrom	colorTo	sdk	sdk_version	app_file	pinned
Car Damage Detection	📉	purple	red	streamlit	1.10.0	app.py	false

Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

Project Name : Vehicle Damage Detection

This project is for detecting the damage on car during accident. I have used YOLO v5 for model building and Streamlit for creating web app. You can upload both videos and images and check.

Dataset:

I have use pre annoted dataset from Roboflow for creating model. The dataset consists of 10675 images with 17 classes like Front-Windscreen-Damage, Headlight-Damage, Major-Rear-Bumper-Dent, Rear-windscreen-Damage,
RunningBoard-Dent, Sidemirror-Damage, Signlight-Damage, Taillight-Damage, bonnet-dent, doorouter-dent, fender-dent,
front-bumper-dent, medium-Bodypanel-Dent, pillar-dent, quaterpanel-dent, rear-bumper-dent, roof-dent.

Link for dataset:

https://universe.roboflow.com/cardamage/cardamage2-mrtqm/dataset/2

Installation of necessary pacakges.

pip install -r requirements.txt

Running streamlit

streamlit run damage_detect.py

Future Scope:

1. I have used YoloV5s model. So further complex models can be created with more data.

Refernce:

https://github.com/xugaoxiang/yolov5-streamlit

https://github.com/ultralytics/yolov5