# Image Classification on ImageNet-C Average of 15 corruptions (test)

Source: [Image Classification on ImageNet-C Average of 15 corruptions (test)](<https://www.sota2.com/research/sota/image-classification-on-imagenet-c-average-of-15-corruptions-test>)

Collection index: [llms.txt](<https://www.sota2.com/research/llms.txt>)

Data updated: 2026-02-26T06:06:40.156Z

Evaluation of Image Classification performance on the ImageNet-C test set, specifically measuring accuracy across an average of 15 defined corruption types.

A research result applies to its stated dataset, split, metric and evaluation configuration. Compare like-for-like settings, preserve the metric's unit and direction, and distinguish paper-reported results from independent reproduction. The best result recorded here is not a claim of exhaustive, current global coverage.

| Scope | Recorded value |
| --- | --- |
| Task | Image Classification |
| Dataset (including any stated split) | ImageNet-C Average of 15 corruptions (test) |
| Metric | Top-1 Acc |
| Unit | PERCENT |
| Direction | Higher is better |
| Results loaded | 5 of 5 |
| Coverage | All results currently returned for this benchmark |

Evaluation settings may differ between results. The original papers and recorded configurations are needed to establish comparability. A shared metric name alone does not establish an identical protocol.

## Metrics

- [Top-1 Acc](<https://www.sota2.com/research/sota/image-classification-on-imagenet-c-average-of-15-corruptions-test.md?metric=Top-1%20Acc>): Higher is better; unit: PERCENT.

## Recorded results

| Method | Top-1 Acc | Result date | Report paper |
| --- | --- | --- | --- |
| RELICv2 | 44.8 | Not recorded | 68fa6dde1e209131cea3c8f8 |
| RELIC | 44.5 | Not recorded | 68fa6dde1e209131cea3c8f8 |
| BYOL | 42.8 | Not recorded | 68fa6dde1e209131cea3c8f8 |
| Supervised | 40.9 | Not recorded | 68fa6dde1e209131cea3c8f8 |
| SimCLR | 31.1 | Not recorded | 68fa6dde1e209131cea3c8f8 |

### RELICv2

Top-1 Acc: 44.8. Result ID: 698ff94d3a6c314849fd2bed.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6dde1e209131cea3c8f8.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6dde1e209131cea3c8f8.md>)

[Implementation](<https://tinyurl.com/wtlhgo3>)

Recorded evaluation configuration: {"Protocol":"Linear evaluation","Backbone":"ResNet-50","Pre-training":"ImageNet","Evaluation":"Zero-shot"}. This record does not assert independent reproduction.

### RELIC

Top-1 Acc: 44.5. Result ID: 698ff94d3a6c314849fd2bec.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6dde1e209131cea3c8f8.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa68811e209131cea1c7cb.md>)

Recorded evaluation configuration: {"Protocol":"Linear evaluation","Backbone":"ResNet-50","Pre-training":"ImageNet","Evaluation":"Zero-shot"}. This record does not assert independent reproduction.

### BYOL

Top-1 Acc: 42.8. Result ID: 698ff94d3a6c314849fd2beb.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6dde1e209131cea3c8f8.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa684a1e209131cea1b1e9.md>)

[Implementation](<https://github.com/deepmind/deepmind-research/tree/byol>)

Recorded evaluation configuration: {"Protocol":"Linear evaluation","Backbone":"ResNet-50","Pre-training":"ImageNet","Evaluation":"Zero-shot"}. This record does not assert independent reproduction.

### Supervised

Top-1 Acc: 40.9. Result ID: 698ff94d3a6c314849fd2be9.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6dde1e209131cea3c8f8.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa684a1e209131cea1b1e9.md>)

[Implementation](<https://github.com/deepmind/deepmind-research/tree/byol>)

Recorded evaluation configuration: {"Protocol":"Linear evaluation","Backbone":"ResNet-50","Pre-training":"ImageNet","Evaluation":"Zero-shot"}. This record does not assert independent reproduction.

### SimCLR

Top-1 Acc: 31.1. Result ID: 698ff94d3a6c314849fd2bea.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6dde1e209131cea3c8f8.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa67d71e209131cea18de5.md>)

[Implementation](<https://github.com/google-research/simclr>)

Recorded evaluation configuration: {"Protocol":"Linear evaluation","Backbone":"ResNet-50","Pre-training":"ImageNet","Evaluation":"Zero-shot"}. This record does not assert independent reproduction.

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