# Image Classification on Tiny ImageNet 100K, 64x64, 200 (test)

Source: [Image Classification on Tiny ImageNet 100K, 64x64, 200 (test)](<https://www.sota2.com/research/sota/image-classification-on-tiny-imagenet-100k-64x64-200-test>)

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

Data updated: 2026-06-04T09:41:20.901Z

Evaluation of Image Classification performance on the test split of the Tiny ImageNet 100K dataset (64x64 resolution, 200 classes), measured by Top-1 and Top-5 accuracy.

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 100K, 64x64, 200 (test) |
| Metric | Top-1 Accuracy |
| Unit | PERCENT |
| Direction | Higher 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

- [Top-1 Accuracy](<https://www.sota2.com/research/sota/image-classification-on-tiny-imagenet-100k-64x64-200-test.md?metric=Top-1%20Accuracy>): Higher is better; unit: PERCENT.

- [Top-5 Accuracy](<https://www.sota2.com/research/sota/image-classification-on-tiny-imagenet-100k-64x64-200-test.md?metric=Top-5%20Accuracy>): Higher is better; unit: PERCENT.

## Recorded results

| Method | Top-1 Accuracy | Result date | Report paper |
| --- | --- | --- | --- |
| Pinchetti et al. \[2024\] | 58.85 | Not recorded | 6a2106a6c10484bac23f0303 |
| Qi et al. \[2025\] | 44.69 | Not recorded | 6a2106a6c10484bac23f0303 |

### Pinchetti et al. \[2024\]

Top-1 Accuracy: 58.85. Result ID: 6a214833fbc373592c1d48d0.

[Reporting paper](<https://www.sota2.com/research/paper/6a2106a6c10484bac23f0303.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa77051e209131cea708c5.md>)

Recorded evaluation configuration: {"Model":"Pinchetti et al. \[2024\]"}. This record does not assert independent reproduction.

### Qi et al. \[2025\]

Top-1 Accuracy: 44.69. Result ID: 6a214833fbc373592c1d48d1.

[Reporting paper](<https://www.sota2.com/research/paper/6a2106a6c10484bac23f0303.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa7bfc1e209131cea8ba5b.md>)

Recorded evaluation configuration: {"Model":"Qi et al. \[2025\]"}. This record does not assert independent reproduction.

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