# Image Classification on ICinW

Source: [Image Classification on ICinW](<https://www.sota2.com/research/sota/image-classification-on-icinw>)

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

Data updated: 2026-02-26T05:35:12.724Z

Evaluation of Image Classification performance across the 20 constituent datasets comprising the ICinW suite.

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) | ICinW |
| Metric | Average Accuracy |
| Unit | PERCENT |
| Direction | Higher is better |
| Results loaded | 8 of 8 |
| 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

- [Average Accuracy](<https://www.sota2.com/research/sota/image-classification-on-icinw.md?metric=Average%20Accuracy>): Higher is better; unit: PERCENT.

- [Caltech-101 Accuracy](<https://www.sota2.com/research/sota/image-classification-on-icinw.md?metric=Caltech-101%20Accuracy>): Higher is better; unit: PERCENT.

- [CIFAR-10 Accuracy](<https://www.sota2.com/research/sota/image-classification-on-icinw.md?metric=CIFAR-10%20Accuracy>): Higher is better; unit: PERCENT.

- [CIFAR-100 Accuracy](<https://www.sota2.com/research/sota/image-classification-on-icinw.md?metric=CIFAR-100%20Accuracy>): Higher is better; unit: PERCENT.

- [Country211 Accuracy](<https://www.sota2.com/research/sota/image-classification-on-icinw.md?metric=Country211%20Accuracy>): Higher is better; unit: PERCENT.

- [DTD Accuracy](<https://www.sota2.com/research/sota/image-classification-on-icinw.md?metric=DTD%20Accuracy>): Higher is better; unit: PERCENT.

- [EuroSAT Accuracy](<https://www.sota2.com/research/sota/image-classification-on-icinw.md?metric=EuroSAT%20Accuracy>): Higher is better; unit: PERCENT.

- [FER-2013 Accuracy](<https://www.sota2.com/research/sota/image-classification-on-icinw.md?metric=FER-2013%20Accuracy>): Higher is better; unit: PERCENT.

- [Aircraft Accuracy](<https://www.sota2.com/research/sota/image-classification-on-icinw.md?metric=Aircraft%20Accuracy>): Higher is better; unit: PERCENT.

- [Food-101 Accuracy](<https://www.sota2.com/research/sota/image-classification-on-icinw.md?metric=Food-101%20Accuracy>): Higher is better; unit: PERCENT.

- [GTSRB Accuracy](<https://www.sota2.com/research/sota/image-classification-on-icinw.md?metric=GTSRB%20Accuracy>): Higher is better; unit: PERCENT.

- [Memes Accuracy](<https://www.sota2.com/research/sota/image-classification-on-icinw.md?metric=Memes%20Accuracy>): Higher is better; unit: PERCENT.

- [KittiDis Accuracy](<https://www.sota2.com/research/sota/image-classification-on-icinw.md?metric=KittiDis%20Accuracy>): Higher is better; unit: PERCENT.

- [MNIST Accuracy](<https://www.sota2.com/research/sota/image-classification-on-icinw.md?metric=MNIST%20Accuracy>): Higher is better; unit: PERCENT.

- [Flowers Accuracy](<https://www.sota2.com/research/sota/image-classification-on-icinw.md?metric=Flowers%20Accuracy>): Higher is better; unit: PERCENT.

- [Pets Accuracy](<https://www.sota2.com/research/sota/image-classification-on-icinw.md?metric=Pets%20Accuracy>): Higher is better; unit: PERCENT.

- [PatchCam Accuracy](<https://www.sota2.com/research/sota/image-classification-on-icinw.md?metric=PatchCam%20Accuracy>): Higher is better; unit: PERCENT.

- [SST2 Accuracy](<https://www.sota2.com/research/sota/image-classification-on-icinw.md?metric=SST2%20Accuracy>): Higher is better; unit: PERCENT.

- [RESISC45 Accuracy](<https://www.sota2.com/research/sota/image-classification-on-icinw.md?metric=RESISC45%20Accuracy>): Higher is better; unit: PERCENT.

- [Cars Accuracy](<https://www.sota2.com/research/sota/image-classification-on-icinw.md?metric=Cars%20Accuracy>): Higher is better; unit: PERCENT.

- [Voc2007 Accuracy](<https://www.sota2.com/research/sota/image-classification-on-icinw.md?metric=Voc2007%20Accuracy>): Higher is better; unit: PERCENT.

## Recorded results

| Method | Average Accuracy | Result date | Report paper |
| --- | --- | --- | --- |
| MaskCLIP | 48.9 | Not recorded | 68fa6f0a1e209131cea437fe |
| KLITE | 45.5 | Not recorded | 68fa6f0a1e209131cea437fe |
| YT-CLIP | 44.5 | Not recorded | 68fa6f0a1e209131cea437fe |
| UniCL | 44 | Not recorded | 68fa6f0a1e209131cea437fe |
| Gramer | 43.2 | Not recorded | 68fa6f0a1e209131cea437fe |
| MaskCLIP | 40.1 | Not recorded | 68fa6f0a1e209131cea437fe |
| SLIP | 37.8 | Not recorded | 68fa6f0a1e209131cea437fe |
| CLIP | 34 | Not recorded | 68fa6f0a1e209131cea437fe |

### MaskCLIP

Average Accuracy: 48.9. Result ID: 69907f0f3a6c31484900fc26.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6f0a1e209131cea437fe.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6f0a1e209131cea437fe.md>)

[Implementation](<https://github.com/LightDXY/MaskCLIP>)

Recorded evaluation configuration: {"Pre-training dataset":"ICinW Academic Track","Evaluation protocol":"Zero-shot","Backbone":"ViT-B"}. This record does not assert independent reproduction.

### KLITE

Average Accuracy: 45.5. Result ID: 69907f0f3a6c31484900fc27.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6f0a1e209131cea437fe.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6a8c1e209131cea28b62.md>)

[Implementation](<https://github.com/microsoft/Swin-Transformer>)

Recorded evaluation configuration: {"Pre-training dataset":"ICinW Academic Track","Evaluation protocol":"Zero-shot","Backbone":"Swin-B"}. This record does not assert independent reproduction.

### YT-CLIP

Average Accuracy: 44.5. Result ID: 69907f0f3a6c31484900fc28.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6f0a1e209131cea437fe.md>)

Recorded evaluation configuration: {"Pre-training dataset":"ICinW Academic Track","Evaluation protocol":"Zero-shot"}. This record does not assert independent reproduction.

### UniCL

Average Accuracy: 44. Result ID: 69907f0f3a6c31484900fc29.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6f0a1e209131cea437fe.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6a411e209131cea2708c.md>)

Recorded evaluation configuration: {"Pre-training dataset":"ICinW Academic Track","Evaluation protocol":"Zero-shot","Backbone":"Focal-B"}. This record does not assert independent reproduction.

### Gramer

Average Accuracy: 43.2. Result ID: 69907f0f3a6c31484900fc2a.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6f0a1e209131cea437fe.md>)

Recorded evaluation configuration: {"Pre-training dataset":"ICinW Academic Track","Evaluation protocol":"Zero-shot","Backbone":"Swin-B"}. This record does not assert independent reproduction.

### MaskCLIP

Average Accuracy: 40.1. Result ID: 69907f0f3a6c31484900fc25.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6f0a1e209131cea437fe.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6f0a1e209131cea437fe.md>)

[Implementation](<https://github.com/LightDXY/MaskCLIP>)

Recorded evaluation configuration: {"Pre-training dataset":"YFCC-15M","Evaluation protocol":"Zero-shot","Backbone":"ViT-B"}. This record does not assert independent reproduction.

### SLIP

Average Accuracy: 37.8. Result ID: 69907f0f3a6c31484900fc24.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6f0a1e209131cea437fe.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6b7a1e209131cea2e67a.md>)

Recorded evaluation configuration: {"Pre-training dataset":"YFCC-15M","Evaluation protocol":"Zero-shot"}. This record does not assert independent reproduction.

### CLIP

Average Accuracy: 34. Result ID: 69907f0f3a6c31484900fc23.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6f0a1e209131cea437fe.md>)

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

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

Recorded evaluation configuration: {"Pre-training dataset":"YFCC-15M","Evaluation protocol":"Zero-shot"}. This record does not assert independent reproduction.

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