# Image Classification on ImageNet 2000 image subset (test)

Source: [Image Classification on ImageNet 2000 image subset (test)](<https://www.sota2.com/research/sota/image-classification-on-imagenet-2000-image-subset-test>)

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

Data updated: 2026-02-26T05:29:07.826Z

Evaluation of Image Classification performance on the test split of the ImageNet 2000 image subset, reporting standard 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 2000 image subset (test) |
| Metric | Accuracy |
| Unit | PERCENT |
| Direction | Higher is better |
| Results loaded | 5 of 5 |
| 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](<https://www.sota2.com/research/sota/image-classification-on-imagenet-2000-image-subset-test.md?metric=Accuracy>): Higher is better; unit: PERCENT.

## Recorded results

| Method | Accuracy | Result date | Report paper |
| --- | --- | --- | --- |
| OpenCLIP VIT-H/14 | 76.8 | Not recorded | 68fa708c1e209131cea4baff |
| Diffusion Classifier | 61.4 | Not recorded | 68fa708c1e209131cea4baff |
| CLIP ResNet-50 | 58.2 | Not recorded | 68fa708c1e209131cea4baff |
| SD Features | 56.6 | Not recorded | 68fa708c1e209131cea4baff |
| Synthetic SD Data | 18.9 | Not recorded | 68fa708c1e209131cea4baff |

### OpenCLIP VIT-H/14

Accuracy: 76.8. Result ID: 699146803a6c31484906f9f8.

[Reporting paper](<https://www.sota2.com/research/paper/68fa708c1e209131cea4baff.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa74261e209131cea6003e.md>)

[Implementation](<https://github.com/LAION-AI/scaling-laws-openclip>)

Recorded evaluation configuration: {"zero-shot":true}. This record does not assert independent reproduction.

### Diffusion Classifier

Accuracy: 61.4. Result ID: 699146803a6c31484906f9f6.

[Reporting paper](<https://www.sota2.com/research/paper/68fa708c1e209131cea4baff.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa708c1e209131cea4baff.md>)

[Implementation](<https://www.sota2.com/diffusion-classifier.github.io/>)

Recorded evaluation configuration: {"zero-shot":true}. This record does not assert independent reproduction.

### CLIP ResNet-50

Accuracy: 58.2. Result ID: 699146803a6c31484906f9f7.

[Reporting paper](<https://www.sota2.com/research/paper/68fa708c1e209131cea4baff.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa69581e209131cea21ad0.md>)

[Implementation](<https://github.com/OpenAI/CLIP>)

Recorded evaluation configuration: {"zero-shot":true}. This record does not assert independent reproduction.

### SD Features

Accuracy: 56.6. Result ID: 699146803a6c31484906f9f5.

[Reporting paper](<https://www.sota2.com/research/paper/68fa708c1e209131cea4baff.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6bfb1e209131cea3166c.md>)

Recorded evaluation configuration: {"zero-shot":false}. This record does not assert independent reproduction.

### Synthetic SD Data

Accuracy: 18.9. Result ID: 699146803a6c31484906f9f4.

[Reporting paper](<https://www.sota2.com/research/paper/68fa708c1e209131cea4baff.md>)

Recorded evaluation configuration: {"zero-shot":true}. This record does not assert independent reproduction.

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