Within this section you will find all the necessary data to train your model. More specificaly, you will find within the dataset folder all images divided into 8 classes. 

Moreover, within the testset folder you will find the images on which you need to predict their label. 

## Folders
*   **dataset** - The folder that contains all images to train the model
*   **testset** - The folder that contains all images to test the model

## Files
*   **sample.csv** - a sample submission file in the correct format
*   **test_files.txt** - a txt file that contains all image filenames to be used to test the model prediction performance

## Columns
*   `id` - definition of image name 
*   `category` - class