# Image Classification on ImageNet 100% labels (val)

Source: [Image Classification on ImageNet 100% labels (val)](<https://www.sota2.com/research/sota/image-classification-on-imagenet-100-percent-labels-val>)

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

Data updated: 2026-02-26T06:06:39.529Z

Evaluation of Image Classification performance on the validation split of ImageNet, using the full 100% set of labels, typically measured by Top-1 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) | ImageNet 100% labels (val) |
| Metric | Top-1 Acc |
| 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

- [Top-1 Acc](<https://www.sota2.com/research/sota/image-classification-on-imagenet-100-percent-labels-val.md?metric=Top-1%20Acc>): Higher is better; unit: PERCENT.

## Recorded results

| Method | Top-1 Acc | Result date | Report paper |
| --- | --- | --- | --- |
| Fine-tuning | 86.9 | Not recorded | 68fa6d311e209131cea38408 |
| Fine-tuning | 86 | Not recorded | 68fa6d311e209131cea38408 |
| Fine-tuning | 83.7 | Not recorded | 68fa6d311e209131cea38408 |

### Fine-tuning

Top-1 Acc: 86.9. Result ID: 698f81c93a6c314849f96df8.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6d311e209131cea38408.md>)

Recorded evaluation configuration: {"Model":"ViT-Huge","Parameters":"632M","Pre-training":"MAE \[24\]"}. This record does not assert independent reproduction.

### Fine-tuning

Top-1 Acc: 86. Result ID: 698f81c93a6c314849f96df7.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6d311e209131cea38408.md>)

Recorded evaluation configuration: {"Model":"ViT-Large","Parameters":"307M","Pre-training":"MAE \[24\]"}. This record does not assert independent reproduction.

### Fine-tuning

Top-1 Acc: 83.7. Result ID: 698f81c93a6c314849f96df6.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6d311e209131cea38408.md>)

Recorded evaluation configuration: {"Model":"ViT-Base","Parameters":"86M","Pre-training":"MAE \[24\]"}. This record does not assert independent reproduction.

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