Datasets › Oxford-IIIT Pets
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 archive 2025-07-28
All 5 leaderboards whose dataset resolves to this page shown (sort by any header). "First row" is the archive's own first row at snapshot, in the archive's row order; nothing here re-ranks and metric direction is not asserted.
| First row (archive order) | Paper | Code | ||||
|---|---|---|---|---|---|---|
| Fine-Grained Image Classification | Oxford-IIIT Pets | EffNet-L2 (SAM) Accuracy 97.10 | Sharpness-Aware Minimization for Efficiently Improving... | davda54/sam +17 | 19 | Compare |
| Image Classification | Oxford-IIIT Pets | CeiT-S (384 finetune resolution) Accuracy 94.9 | Incorporating Convolution Designs into Visual Transformers | rishikksh20/CeiT-pytorch +2 | 6 | Compare |
| Zero-Shot Learning | Oxford-IIIT Pets | ZLaP Accuracy 90 | Label Propagation for Zero-shot Classification with... | vladan-stojnic/zlap | 2 | Compare |
| Image Clustering | Oxford-IIIT Pets | TURTLE (CLIP + DINOv2) Accuracy 92.3 | Let Go of Your Labels with Unsupervised Transfer | mlbio-epfl/turtle | 1 | Compare |
| Transductive Zero-Shot Classification | Oxford-IIIT Pets | ZLaP Accuracy 92.8 | Label Propagation for Zero-shot Classification with... | vladan-stojnic/zlap | 1 | Compare |
Papers archive 2025-07-28
16 shown of 16 papers with a leaderboard row on this dataset's benchmarks, newest first. The archive's own "papers using this dataset" list was never published, so this is the benchmark-backed subset; the archive's count for this dataset is 59. The Syntology column is from Syntology's graph (read 2026-09-24), stated per sample; it is not part of any archive number.
Dataset loaders archive 2025-07-28
No loader listed in the archive.
Tasks archive 2025-07-28
License archive 2025-07-28
No licence recorded in the archive. Absence here is not a statement about the dataset's terms.
Modalities archive 2025-07-28
No modality tagged.
Languages archive 2025-07-28
No language tagged.
Variants archive 2025-07-28
- Oxford-IIIT Pet Dataset
- Oxford-IIIT Pets
2 variant names, as the archive lists them.
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