Hello everyone!

This dataset contains about 1.2K 224x224px quality animal images belonging to 3 categories: horse, zebra and donkeys.

This dataset can be used to test different image recognition networks: from homemade CNNs (~80% accuracy) to Google Inception (98%). It could simulate a smart gallery for a researcher (like a biologist).

All the images have been collected from bing, shutterstock and google images and have been thoroughly checked, annotated and split 80:20 ratio into train and test sets. There is some erroneous data to simulate real conditions (eg. images taken by users of your app).

The main directory is divided into folders; train and test and then one folder for each category. Image count for each category varies from 200 to 500 images.