# Object Classification on Tiny-ImageNet-C v1 (test)

Source: [Object Classification on Tiny-ImageNet-C v1 (test)](<https://www.sota2.com/research/sota/object-classification-on-tiny-imagenet-c-v1-test>)

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

Data updated: 2026-02-26T05:34:26.784Z

Evaluation of Object Classification performance on the test split of Tiny-ImageNet-C v1, measured across five levels of corruption severity.

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 | Object Classification |
| Dataset (including any stated split) | Tiny-ImageNet-C v1 (test) |
| Metric | Accuracy (Severity 1) |
| Unit | PERCENT |
| Direction | Higher is better |
| Results loaded | 3 of 3 |
| 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

- [Accuracy (Severity 1)](<https://www.sota2.com/research/sota/object-classification-on-tiny-imagenet-c-v1-test.md?metric=Accuracy%20(Severity%201)>): Higher is better; unit: PERCENT.

- [Accuracy (Severity 2)](<https://www.sota2.com/research/sota/object-classification-on-tiny-imagenet-c-v1-test.md?metric=Accuracy%20(Severity%202)>): Higher is better; unit: PERCENT.

- [Accuracy (Severity 3)](<https://www.sota2.com/research/sota/object-classification-on-tiny-imagenet-c-v1-test.md?metric=Accuracy%20(Severity%203)>): Higher is better; unit: PERCENT.

- [Accuracy (Severity 4)](<https://www.sota2.com/research/sota/object-classification-on-tiny-imagenet-c-v1-test.md?metric=Accuracy%20(Severity%204)>): Higher is better; unit: PERCENT.

- [Accuracy (Severity 5)](<https://www.sota2.com/research/sota/object-classification-on-tiny-imagenet-c-v1-test.md?metric=Accuracy%20(Severity%205)>): Higher is better; unit: PERCENT.

## Recorded results

| Method | Accuracy (Severity 1) | Result date | Report paper |
| --- | --- | --- | --- |
| SharpBalance | 46.48 | Not recorded | 68fa74341e209131cea606c3 |
| Deep ensemble + SAM | 45.2 | Not recorded | 68fa74341e209131cea606c3 |
| Deep ensemble | 43.62 | Not recorded | 68fa74341e209131cea606c3 |

### SharpBalance

Accuracy (Severity 1): 46.48. Result ID: 699342b33a6c31484914c3ed.

[Reporting paper](<https://www.sota2.com/research/paper/68fa74341e209131cea606c3.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa74341e209131cea606c3.md>)

Recorded evaluation configuration: Not recorded. This record does not assert independent reproduction.

### Deep ensemble + SAM

Accuracy (Severity 1): 45.2. Result ID: 699342b33a6c31484914c3ec.

[Reporting paper](<https://www.sota2.com/research/paper/68fa74341e209131cea606c3.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa69d81e209131cea248fb.md>)

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

Recorded evaluation configuration: Not recorded. This record does not assert independent reproduction.

### Deep ensemble

Accuracy (Severity 1): 43.62. Result ID: 699342b33a6c31484914c3eb.

[Reporting paper](<https://www.sota2.com/research/paper/68fa74341e209131cea606c3.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa63bc1e209131cea0084f.md>)

Recorded evaluation configuration: Not recorded. This record does not assert independent reproduction.

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