# ImageNet-R

ImageNet-R is an AI benchmark; this page records what it measures and traces its data, grader, and scores to primary sources.

Tests ImageNet classifiers on artistic and other non-photographic renditions of 200 object classes.

## Details

- Address: Online, Global
- Website: [github.com/hendrycks/imagenet-r](<https://github.com/hendrycks/imagenet-r>)
- Tags: Science, Helpful
- Category: Multimodal
- Status: Active
- Data licence: MIT
- Data access: open
- Grader: exact
- Organization: UC Berkeley
- Released: 2020-06
- Paper: [arxiv.org/abs/2006.16241](<https://arxiv.org/abs/2006.16241>)
- Repository: [github.com/hendrycks/imagenet-r](<https://github.com/hendrycks/imagenet-r>)
- Task count: 30,000
- Top-score provenance: unknown
- ABI family: No

## Questions

### Where is ImageNet-R?

ImageNet-R is at Online, Global.

### How do I contact ImageNet-R?

To contact ImageNet-R, visit https://github.com/hendrycks/imagenet-r.

## Source

From [Benchmark primary sources](https://aibenchmarkindex.com/about), license CC0-1.0, checked 2026-10-15.

Last updated October 15, 2026.

## Links

- This benchmark on the [web page](<https://aibenchmarkindex.com/global/online/imagenet-r>)
- [Multimodal in Online](<https://aibenchmarkindex.com/global/online/category/multimodal.md>)
- [More benchmarks in Online](<https://aibenchmarkindex.com/global/online.md>)

> **Check before you compare.** Benchmark methods and leaderboards change. Follow the cited primary source before using a result in a decision.