Car-Models-and-Make-Classification-Standford_Car_dataset-mobilenetv2-imagenet-93-percent-accuracy

Car Models and Make Classification Standford_Car_dataset mobilenetv2 imagenet 93 percent accuracy

Libraries Required:

      -Tensorflow
      -Keras
      -Numpy
      -Pickle

Mobilenetv2

Setting the code:

1. Download the standford Car dataset from https://ai.stanford.edu/~jkrause/cars/car_dataset.html and place the dataset in the training and testing folder in the datapreprocessing.

2. Run the data_preprocessing/data_preprocessing.ipynb code it will crop the car images in specific make directory.

3. Run the Car_classification.ipynb code and train the model, it will save the weights in models that can be use in the testing.