# Image Classification on ImageNet 1% labels 1k (train val)

Source: [Image Classification on ImageNet 1% labels 1k (train val)](<https://www.sota2.com/research/sota/image-classification-on-imagenet-1-percent-labels-1k-train-val>)

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

Data updated: 2026-02-26T06:07:04.576Z

Evaluation of Image Classification performance on the combined training and validation split of the 1k version of the 1% labeled subset of ImageNet, measured using 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 1% labels 1k (train val) |
| Metric | Top-1 Accuracy |
| Unit | PERCENT |
| Direction | Higher is better |
| Results loaded | 7 of 7 |
| 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-imagenet-1-percent-labels-1k-train-val.md?metric=Top-1%20Accuracy>): Higher is better; unit: PERCENT.

## Recorded results

| Method | Top-1 Accuracy | Result date | Report paper |
| --- | --- | --- | --- |
| BAM | 66.8 | Not recorded | 68fa74681e209131cea61879 |
| MoCoV3 | 66.3 | Not recorded | 68fa74681e209131cea61879 |
| DINO | 65 | Not recorded | 68fa74681e209131cea61879 |
| BAM | 60 | Not recorded | 68fa74681e209131cea61879 |
| DINO | 58.7 | Not recorded | 68fa74681e209131cea61879 |
| MAE | 57.4 | Not recorded | 68fa74681e209131cea61879 |
| MoCoV3 | 51.2 | Not recorded | 68fa74681e209131cea61879 |

### BAM

Top-1 Accuracy: 66.8. Result ID: 699345313a6c31484914d608.

[Reporting paper](<https://www.sota2.com/research/paper/68fa74681e209131cea61879.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa74681e209131cea61879.md>)

[Implementation](<https://www.sota2.com/github.com/DanielShalam/BAM>)

Recorded evaluation configuration: {"arch.":"ViT-B/16","params":"85M","Training Protocol":"Semi-supervised"}. This record does not assert independent reproduction.

### MoCoV3

Top-1 Accuracy: 66.3. Result ID: 699345313a6c31484914d605.

[Reporting paper](<https://www.sota2.com/research/paper/68fa74681e209131cea61879.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6a931e209131cea2903d.md>)

[Implementation](<https://github.com/facebookresearch/moco-v3>)

Recorded evaluation configuration: {"arch.":"ViT-B/16","params":"85M","Training Protocol":"Semi-supervised"}. This record does not assert independent reproduction.

### DINO

Top-1 Accuracy: 65. Result ID: 699345313a6c31484914d606.

[Reporting paper](<https://www.sota2.com/research/paper/68fa74681e209131cea61879.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6a071e209131cea2594c.md>)

[Implementation](<https://github.com/facebookresearch/dino>)

Recorded evaluation configuration: {"arch.":"ViT-B/16","params":"85M","Training Protocol":"Semi-supervised"}. This record does not assert independent reproduction.

### BAM

Top-1 Accuracy: 60. Result ID: 699345313a6c31484914d604.

[Reporting paper](<https://www.sota2.com/research/paper/68fa74681e209131cea61879.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa74681e209131cea61879.md>)

[Implementation](<https://www.sota2.com/github.com/DanielShalam/BAM>)

Recorded evaluation configuration: {"arch.":"ViT-S/16","params":"21M","Training Protocol":"Semi-supervised"}. This record does not assert independent reproduction.

### DINO

Top-1 Accuracy: 58.7. Result ID: 699345313a6c31484914d603.

[Reporting paper](<https://www.sota2.com/research/paper/68fa74681e209131cea61879.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6a071e209131cea2594c.md>)

[Implementation](<https://github.com/facebookresearch/dino>)

Recorded evaluation configuration: {"arch.":"ViT-S/16","params":"21M","Training Protocol":"Semi-supervised"}. This record does not assert independent reproduction.

### MAE

Top-1 Accuracy: 57.4. Result ID: 699345313a6c31484914d607.

[Reporting paper](<https://www.sota2.com/research/paper/68fa74681e209131cea61879.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6b7f1e209131cea2e973.md>)

Recorded evaluation configuration: {"arch.":"ViT-B/16","params":"85M","Training Protocol":"Semi-supervised"}. This record does not assert independent reproduction.

### MoCoV3

Top-1 Accuracy: 51.2. Result ID: 699345313a6c31484914d602.

[Reporting paper](<https://www.sota2.com/research/paper/68fa74681e209131cea61879.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6a931e209131cea2903d.md>)

[Implementation](<https://github.com/facebookresearch/moco-v3>)

Recorded evaluation configuration: {"arch.":"ViT-S/16","params":"21M","Training Protocol":"Semi-supervised"}. This record does not assert independent reproduction.

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