Datasets › ImageNet-R

ImageNet-R (ImageNet-Rendition)

Introduced by Dan Hendrycks et al. in The Many Faces of Robustness: A Critical Analysis of Out-of-Distribution Generalization archive 2025-07-28

ImageNet-R(endition) contains art, cartoons, deviantart, graffiti, embroidery, graphics, origami, paintings, patterns, plastic objects, plush objects, sculptures, sketches, tattoos, toys, and video game renditions of ImageNet classes.

ImageNet-R has renditions of 200 ImageNet classes resulting in 30,000 images.

Source: The Many Faces of Robustness: A Critical Analysis of Out-of-Distribution Generalization

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
Domain Generalization ImageNet-R Model soups (BASIC-L) Top-1 Error Rate 3.90 Model soups: averaging weights of multiple fine-tuned... mlfoundations/model-soups +5 39 Compare
Zero-Shot Composed Image Retrieval (ZS-CIR) ImageNet-R MagicLens (CoCa L) (Recall@10+Recall@50)/2 52.95 MagicLens: Self-Supervised Image Retrieval with... google-deepmind/magiclens 20 Compare
Zero-Shot Transfer Image Classification ImageNet-R BASIC (Lion) Accuracy 96.8 — — 12 Compare
Prompt Engineering ImageNet-R POMP Top-1 accuracy % 77.9 Prompt Pre-Training with Twenty-Thousand Classes for... amazon-science/prompt-pretraining 9 Compare
Unsupervised Domain Adaptation ImageNet-R Model soups (ViT-G/14) Top 1 Error 4.54 Model soups: averaging weights of multiple fine-tuned... mlfoundations/model-soups +5 8 Compare

Papers archive 2025-07-28

30 shown of 50 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 481. 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
MMRL: Multi-Modal Representation Learning for Vision-Language Models 1 1 11 Mar 2025 ran 0 of 1 samples (1 unverified)
Composed Image Retrieval for Training-Free Domain Conversion 1 6 4 Dec 2024 not harvested
HPT++: Hierarchically Prompting Vision-Language Models with Multi-Granularity Knowledge Generation and Improved Structure Modeling 2 1 27 Aug 2024 not harvested
iSEARLE: Improving Textual Inversion for Zero-Shot Composed Image Retrieval 2 3 5 May 2024 ran 3 of 4 samples (1 unverified; 4 pointer-only for licence)
MagicLens: Self-Supervised Image Retrieval with Open-Ended Instructions 1 4 28 Mar 2024 ran 1 of 1 samples (0 unverified)
EVA-CLIP-18B: Scaling CLIP to 18 Billion Parameters 2 1 6 Feb 2024 ran 1 of 6 samples (5 unverified)
Fully Attentional Networks with Self-emerging Token Labeling 1 1 8 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)
Language-only Efficient Training of Zero-shot Composed Image Retrieval 1 1 4 Dec 2023 ran 3 of 8 samples (5 unverified; 8 pointer-only for licence)
Distilling Out-of-Distribution Robustness from Vision-Language Foundation Models 1 1 2 Nov 2023 ran 1 of 1 samples (0 unverified)
Context-I2W: Mapping Images to Context-dependent Words for Accurate Zero-Shot Composed Image Retrieval 1 1 28 Sep 2023 ran 1 of 1 samples (0 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)
Prompt Pre-Training with Twenty-Thousand Classes for Open-Vocabulary Visual Recognition 1 1 10 Apr 2023 ran 5 of 7 samples (2 unverified)
Zero-Shot Composed Image Retrieval with Textual Inversion 2 4 27 Mar 2023 not harvested
EVA-CLIP: Improved Training Techniques for CLIP at Scale 4 1 27 Mar 2023 ran 0 of 4 samples (4 unverified)
Scaling Vision Transformers to 22 Billion Parameters 1 1 10 Feb 2023 not harvested
Pic2Word: Mapping Pictures to Words for Zero-shot Composed Image Retrieval 1 1 6 Feb 2023 ran 1 of 1 samples (0 unverified)
A Whac-A-Mole Dilemma: Shortcuts Come in Multiples Where Mitigating One Amplifies Others 1 2 9 Dec 2022 not harvested
Context-Aware Robust Fine-Tuning 0 1 29 Nov 2022 not harvested
AltCLIP: Altering the Language Encoder in CLIP for Extended Language Capabilities 2 1 12 Nov 2022 ran 2 of 11 samples (9 unverified)
MetaFormer Baselines for Vision 8 8 24 Oct 2022 ran 0 of 4 samples (4 unverified)
MaPLe: Multi-modal Prompt Learning 3 1 6 Oct 2022 ran 4 of 6 samples (2 unverified)
Generalized Parametric Contrastive Learning 4 1 26 Sep 2022 not harvested
Enhance the Visual Representation via Discrete Adversarial Training 1 1 16 Sep 2022 ran 10 of 11 samples (1 unverified; 1 pointer-only for licence)
PaLI: A Jointly-Scaled Multilingual Language-Image Model 1 2 14 Sep 2022 ran 2 of 4 samples (2 unverified)
Sequencer: Deep LSTM for Image Classification 5 1 4 May 2022 ran 4 of 9 samples (5 unverified)
CoCa: Contrastive Captioners are Image-Text Foundation Models 6 1 4 May 2022 ran 9 of 17 samples (8 unverified)
Understanding The Robustness in Vision Transformers 2 1 26 Apr 2022 not harvested
Improving Vision Transformers by Revisiting High-frequency Components 1 1 3 Apr 2022 ran 10 of 14 samples (4 unverified)

The full list of 50 is in the JSON twin.

Dataset loaders archive 2025-07-28

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

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

Languages archive 2025-07-28

No language tagged.

Variants archive 2025-07-28

  • ImageNet-R

1 variant name, as the archive lists them.

Report a problem or propose a change · a person checks every report against the paper or source before anything changes; decisions are listed on /corrections