Oxford-IIIT Pets is a pet image dataset. The dataset covers 37 categories (25 for dogs and 12 for cats), with approximately 200 images per category. These images vary widely in scale, pose, and lighting conditions. All images have a corresponding ground truth annotation, including breed, head ROI, and pixel-level trimap segmentation.