# Dataset

* Train: including 25.000 images which are separated in the two folders dog and cat relevant to each class. We need to use that to train the model.
* Test: including 8.000 hidden-label images to evaluate and rank leader board.
* submission.csv: sample submission files which is the result of the model on the test dataset. That include two columns: 
 * ID: are images name (such as 000001.jpg)
 * label: the model's prediction