Overview
The data has been split into two groups:
training set(train folder)
test set(test folder)
The training set contains 45 different classes(cars) and there are 100 images for each car. These images are stored in separate folders according to names of the cars. The labels of the images are the folder names.
The test set contains 450 pictures of different cars.
Train your model on the training set. Then use that model to generate predictions and store them in a csv file
The csv file must contain two columns. The first column will have the string "image"+image_no. The second column will have the predictions in the form of integers(0-44). You have to assign an integer to each car when the car names are sorted without considering the case
If you have any problem regarding the label encoding of the car names, refer car_map.csv
If you have any problem regarding the format of the file to be submitted, refer sample_submission.csv