Simple ML project to predict cars based on the stanford cars dataset
Clone the dataset found in https://www.kaggle.com/jutrera/stanford-car-dataset-by-classes-folder into
.helpers/car_data/ and ensure that the train and test data is split properly into folders.
Run ./helpers/model-trainer.py
When the training is done you will have a model created in ./trained_models/car_classifier.pt
Create a FLask webapp that will test new images to see which type of car they are