The Wild-Anim dataset available from this page consists of 5 classes that contains uniformly distributed images examples of wild animals.
In total, the dataset contains 5000 images. The images are slightly anamorphic in their representation. These images were passed as input
to both deep learning and classical computer vision methods for carrying out animal recognition task. In our experiments, we considered
two subsets each containing 1000 examples (non-repetitive images) from the total image examples.