Datasets › Oxford-IIIT Pet Dataset

Oxford-IIIT Pet Dataset

Introduced in Cats and dogs19 Jun 2022 archive 2025-07-28

The Oxford-IIIT Pet Dataset has 37 categories 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.

Also available on Academic torrent, Link is here

Source: https://www.robots.ox.ac.uk/~vgg/data/pets/ Image Source: https://www.robots.ox.ac.uk/~vgg/data/pets/

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)PaperCode
Fine-Grained Image Classification Oxford-IIIT Pet Dataset OmniVec2 Accuracy 99.6 OmniVec2 - A Novel Transformer based Network for Large... — 15 Compare
Prompt Engineering Oxford-IIIT Pet Dataset PromptKD Harmonic mean 97.15 PromptKD: Unsupervised Prompt Distillation for... zhengli97/promptkd 14 Compare
Image Classification Oxford-IIIT Pet Dataset TWIST (ResNet-50) Accuracy 94.5 Self-Supervised Learning by Estimating Twin Class Distributions bytedance/TWIST +1 5 Compare
Neural Architecture Search Oxford-IIIT Pet Dataset NAT-M4 Accuracy (%) 94.3 Neural Architecture Transfer human-analysis/neural-architecture-transfer +1 4 Compare
Image Compression Oxford-IIIT Pet Dataset Lossyless Compressor Bit rate 1210 Lossy Compression for Lossless Prediction YannDubs/lossyless 1 Compare

Papers archive 2025-07-28

30 shown of 35 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 90. The Syntology column is from Syntology's graph (read 2026-09-24), stated per sample; it is not part of any archive number.

DateSamples run Syntology
Linear Attention with Global Context: A Multipole Attention Mechanism for Vision and Physics 1 1 3 Jul 2025 not harvested
MMRL++: Parameter-Efficient and Interaction-Aware Representation Learning for Vision-Language Models 1 1 15 May 2025 not harvested
MMRL: Multi-Modal Representation Learning for Vision-Language Models 1 1 11 Mar 2025 ran 0 of 1 samples (1 unverified)
HPT++: Hierarchically Prompting Vision-Language Models with Multi-Granularity Knowledge Generation and Improved Structure Modeling 2 1 27 Aug 2024 not harvested
Prompt Learning via Meta-Regularization 1 1 1 Apr 2024 ran 4 of 7 samples (3 unverified)
PromptKD: Unsupervised Prompt Distillation for Vision-Language Models 1 1 5 Mar 2024 not harvested
OmniVec2 - A Novel Transformer based Network for Large Scale Multimodal and Multitask Learning 0 1 1 Jan 2024 not harvested
Learning Hierarchical Prompt with Structured Linguistic Knowledge for Vision-Language Models 2 1 11 Dec 2023 ran 3 of 7 samples (4 unverified)
OmniVec: Learning robust representations with cross modal sharing 0 1 7 Nov 2023 not harvested
DePT: Decoupled Prompt Tuning 1 1 14 Sep 2023 ran 4 of 8 samples (4 unverified; 8 pointer-only for licence)
Read-only Prompt Optimization for Vision-Language Few-shot Learning 1 1 29 Aug 2023 ran 4 of 6 samples (2 unverified)
Self-regulating Prompts: Foundational Model Adaptation without Forgetting 2 1 13 Jul 2023 ran 7 of 21 samples (14 unverified)
Consistency-guided Prompt Learning for Vision-Language Models 2 1 1 Jun 2023 ran 3 of 7 samples (4 unverified)
DINOv2: Learning Robust Visual Features without Supervision 26 1 14 Apr 2023 ran 21 of 46 samples (25 unverified; 12 pointer-only for licence)
Fine-Grained Visual Classification via Internal Ensemble Learning Transformer 1 1 13 Feb 2023 not harvested
Learning Domain Invariant Prompt for Vision-Language Models 1 1 8 Dec 2022 not harvested
MaPLe: Multi-modal Prompt Learning 3 1 6 Oct 2022 ran 4 of 6 samples (2 unverified)
Grouped Pointwise Convolutions Reduce Parameters in Convolutional Neural Networks 2 1 30 Jun 2022 not harvested
Bamboo: Building Mega-Scale Vision Dataset Continually with Human-Machine Synergy 2 1 15 Mar 2022 ran 3 of 3 samples (0 unverified; 3 pointer-only for licence)
Conditional Prompt Learning for Vision-Language Models 12 1 10 Mar 2022 ran 4 of 6 samples (2 unverified)
Vision Models Are More Robust And Fair When Pretrained On Uncurated Images Without Supervision 1 1 16 Feb 2022 not harvested
Self-Supervised Learning by Estimating Twin Class Distributions 2 1 14 Oct 2021 ran 5 of 15 samples (10 unverified)
Grouped Pointwise Convolutions Significantly Reduces Parameters in EfficientNet 1 1 14 Oct 2021 not harvested
Towards Fine-grained Image Classification with Generative Adversarial Networks and Facial Landmark Detection 1 1 28 Aug 2021 not harvested
AutoFormer: Searching Transformers for Visual Recognition 2 1 1 Jul 2021 not harvested
Lossy Compression for Lossless Prediction 1 1 21 Jun 2021 ran 2 of 11 samples (9 unverified)
Effect of Pre-Training Scale on Intra- and Inter-Domain Full and Few-Shot Transfer Learning for Natural and Medical X-Ray Chest Images 1 1 31 May 2021 not harvested
With a Little Help from My Friends: Nearest-Neighbor Contrastive Learning of Visual Representations 4 1 29 Apr 2021 ran 4 of 5 samples (1 unverified)
Transformer in Transformer 12 1 27 Feb 2021 ran 16 of 24 samples (8 unverified; 5 pointer-only for licence)
Learning Transferable Visual Models From Natural Language Supervision 82 1 26 Feb 2021 ran 16 of 20 samples (4 unverified; 16 pointer-only for licence)

The full list of 35 is in the JSON twin.

Dataset loaders archive 2025-07-28

2 loaders as listed in the archive; links are outbound and not re-checked here.

Tasks archive 2025-07-28

License archive 2025-07-28

CC BY-SA 4.0

Modalities archive 2025-07-28

Languages archive 2025-07-28

No language tagged.

Variants archive 2025-07-28

  • Oxford-IIIT Pet Dataset

1 variant name, as the archive lists them.

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