Omkar M Parkhi and Andrea Vedaldi have created a 37 category pet dataset 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.The details of the categories and the number of images for each class can be found at:https://www.robots.ox.ac.uk/~vgg/data/pets/.

{"references": ["Parkhi O M, Vedaldi A, Zisserman A, et al. 2012. Cats and dogs. 2012 IEEE conference on computer vision and pattern recognition. IEEE. 3498-3505."]}