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Car Damage detection using Detectron2

Demo(https://huggingface.co/spaces/ishaal007/CarDamageDetection)

Created own dataset and annoted damages in the types like Scratch,Dents,Dislocation and shatter.
Used Detectron2 and Faster RCNN R50 model for training.
Deployed using Gradio app and hosted on huggingface.
Own COCO Format dataset created. Model training code availabel in ipynb file.
Dataset Link:"!curl -L "https://app.roboflow.com/ds/fsu1wRqbfZ?key=bfRcfkmehm" > roboflow.zip; unzip roboflow.zip; rm roboflow.zip"
app.py is gradio file.
mycongif file is the file required for the our models custom configuration save it during the training.

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