# Image Classification on Tiny ImageNet 1000 labels (test)

Source: [Image Classification on Tiny ImageNet 1000 labels (test)](<https://www.sota2.com/research/sota/image-classification-on-tiny-imagenet-1000-labels-test>)

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

Data updated: 2026-02-26T05:42:15.203Z

Evaluation of Image Classification performance on the test split of the Tiny ImageNet dataset, specifically using the 1000 label subset, measured by Error Rate.

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) | Tiny ImageNet 1000 labels (test) |
| Metric | Error Rate |
| Unit | PERCENT |
| Direction | Lower is better |
| Results loaded | 2 of 2 |
| 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

- [Error Rate](<https://www.sota2.com/research/sota/image-classification-on-tiny-imagenet-1000-labels-test.md?metric=Error%20Rate>): Lower is better; unit: PERCENT.

## Recorded results

| Method | Error Rate | Result date | Report paper |
| --- | --- | --- | --- |
| Triple-GAN-V2 | 17.13 | Not recorded | 68fa68521e209131cea1b71b |
| MT (our code base) | 19.07 | Not recorded | 68fa68521e209131cea1b71b |

### Triple-GAN-V2

Error Rate: 17.13. Result ID: 698d6a808b517eb4332156df.

[Reporting paper](<https://www.sota2.com/research/paper/68fa68521e209131cea1b71b.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa68521e209131cea1b71b.md>)

[Implementation](<https://github.com/zhenxuan00/triple-gan>)

Recorded evaluation configuration: {"Classifier":"13-layer CNN \[32\]","Data Augmentation":"Standard"}. This record does not assert independent reproduction.

### MT (our code base)

Error Rate: 19.07. Result ID: 698d6a808b517eb4332156de.

[Reporting paper](<https://www.sota2.com/research/paper/68fa68521e209131cea1b71b.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa64481e209131cea03b45.md>)

[Implementation](<https://github.com/CuriousAI/mean-teacher>)

Recorded evaluation configuration: {"Classifier":"13-layer CNN \[32\]","Data Augmentation":"Standard"}. This record does not assert independent reproduction.

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