Oxford IIT Pet
This dataset consists of 37 categories of pets with roughly 200 images for each class. The images have a large variations in scale, pose and lighting. All images have an associated ground truth annotation of breed, head ROI, and pixel level trimap segmentation.
O. M. Parkhi, A. Vedaldi, A. Zisserman, C. V. Jawahar
Cats and Dogs, IEEE Conference on Computer Vision and Pattern Recognition, 2012.
The dataset is available to download for commercial/research purposes under the Creative Commons Attribution-ShareAlike 4.0 International (CC-BY-SA 4.0). Note that the license includes a disclaimer of warranties and limitation of liability.