Oxford-IIIT Pets
The Oxford-IIIT Pet Dataset is a 37-category pet dataset with roughly 200 images for each class. The images have large variations in scale, pose, and lighting. All images have an associated ground truth annotation of breed, head ROI, and pixel-level trimap segmentation.
Benchmarks
Fine-Grained Image Classification/AccuracyFine-Grained Image Classification/Top-1 Error RateFine-Grained Image Classification/FLOPSFine-Grained Image Classification/PARAMSImage Classification/AccuracyImage Classification/Per-Class AccuracyImage Classification/Top-1 Error RateImage Classification/FLOPSImage Classification/PARAMSImage Clustering/AccuracyZero-Shot Learning/Accuracy