A proof of concept to use computer vision and deep learning to check whether a car is damaged or not and if damaged check severity and location. Trained a pipeline of convolutional neural networks using transfer learning on DenseNet-201 with Keras and Tensorflow to classify damage. Deployment is done using a web app with Flask, dockers and tensorflow serving.
Model Workflow:
Explainability:
Deployment:
Credits for the concept - Ting Neo's car-damage-detective