/Damage-car-detection

CNN model trained on a data set containing damage and normal car images and deployed as a web app using django.

Primary LanguagePython

Damage-car-detection

CNN model trained on a data set containing damage and normal car images and deployed as a web app using django.
The dataset folder contains roughly 4000 images sorted in two folders train and test.

Requirements:

  1. Python
  2. Keras
  3. Tensorflow
  4. Django

Training the model

The CNN model can be trained directly or its parameters can be tuned for better accuracy. The folder also contains a pre trained model with .h5 extention which can be used directly.