# Image Classification on CIFAR-100, ImageNet-O, ImageNet-V2, CIFAR-10

Source: [Image Classification on CIFAR-100, ImageNet-O, ImageNet-V2, CIFAR-10](<https://www.sota2.com/research/sota/image-classification-on-cifar-100-imagenet-o-imagenet-v2-cifar-10>)

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

Data updated: 2026-02-26T06:07:09.598Z

Evaluation of Image Classification performance across the combined set of CIFAR-100, ImageNet-O, ImageNet-V2, and CIFAR-10 datasets, reporting Avg 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) | CIFAR-100, ImageNet-O, ImageNet-V2, CIFAR-10 |
| Metric | Top-1 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

- [Top-1 Accuracy](<https://www.sota2.com/research/sota/image-classification-on-cifar-100-imagenet-o-imagenet-v2-cifar-10.md?metric=Top-1%20Accuracy>): Higher is better; unit: PERCENT.

## Recorded results

| Method | Top-1 Accuracy | Result date | Report paper |
| --- | --- | --- | --- |
| MulCLIP | 65.27 | Not recorded | 6937ad116cfd488761a4e83d |
| GOAL | 65.12 | Not recorded | 6937ad116cfd488761a4e83d |
| GOAL | 64.69 | Not recorded | 6937ad116cfd488761a4e83d |
| MulCLIP | 63.07 | Not recorded | 6937ad116cfd488761a4e83d |
| MulCLIP | 61.11 | Not recorded | 6937ad116cfd488761a4e83d |
| MulCLIP | 60.65 | Not recorded | 6937ad116cfd488761a4e83d |
| GOAL | 59.48 | Not recorded | 6937ad116cfd488761a4e83d |
| GOAL | 58.09 | Not recorded | 6937ad116cfd488761a4e83d |

### MulCLIP

Top-1 Accuracy: 65.27. Result ID: 699879f65698665ec4daa44d.

[Reporting paper](<https://www.sota2.com/research/paper/6937ad116cfd488761a4e83d.md>)

[Method origin paper](<https://www.sota2.com/research/paper/6937ad116cfd488761a4e83d.md>)

Recorded evaluation configuration: {"Backbone":"ViT-L/14","Fine-tuning dataset":"DCI","Evaluation Protocol":"zero-shot"}. This record does not assert independent reproduction.

### GOAL

Top-1 Accuracy: 65.12. Result ID: 699879f65698665ec4daa44a.

[Reporting paper](<https://www.sota2.com/research/paper/6937ad116cfd488761a4e83d.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa77941e209131cea74164.md>)

[Implementation](<https://github.com/PerceptualAI-Lab/GOAL/tree/main/datasets>)

Recorded evaluation configuration: {"Backbone":"ViT-L/14","Fine-tuning dataset":"DOCCI","Evaluation Protocol":"zero-shot"}. This record does not assert independent reproduction.

### GOAL

Top-1 Accuracy: 64.69. Result ID: 699879f65698665ec4daa44c.

[Reporting paper](<https://www.sota2.com/research/paper/6937ad116cfd488761a4e83d.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa77941e209131cea74164.md>)

[Implementation](<https://github.com/PerceptualAI-Lab/GOAL/tree/main/datasets>)

Recorded evaluation configuration: {"Backbone":"ViT-L/14","Fine-tuning dataset":"DCI","Evaluation Protocol":"zero-shot"}. This record does not assert independent reproduction.

### MulCLIP

Top-1 Accuracy: 63.07. Result ID: 699879f65698665ec4daa44b.

[Reporting paper](<https://www.sota2.com/research/paper/6937ad116cfd488761a4e83d.md>)

[Method origin paper](<https://www.sota2.com/research/paper/6937ad116cfd488761a4e83d.md>)

Recorded evaluation configuration: {"Backbone":"ViT-L/14","Fine-tuning dataset":"DOCCI","Evaluation Protocol":"zero-shot"}. This record does not assert independent reproduction.

### MulCLIP

Top-1 Accuracy: 61.11. Result ID: 699879f65698665ec4daa449.

[Reporting paper](<https://www.sota2.com/research/paper/6937ad116cfd488761a4e83d.md>)

[Method origin paper](<https://www.sota2.com/research/paper/6937ad116cfd488761a4e83d.md>)

Recorded evaluation configuration: {"Backbone":"ViT-B/16","Fine-tuning dataset":"DCI","Evaluation Protocol":"zero-shot"}. This record does not assert independent reproduction.

### MulCLIP

Top-1 Accuracy: 60.65. Result ID: 699879f65698665ec4daa447.

[Reporting paper](<https://www.sota2.com/research/paper/6937ad116cfd488761a4e83d.md>)

[Method origin paper](<https://www.sota2.com/research/paper/6937ad116cfd488761a4e83d.md>)

Recorded evaluation configuration: {"Backbone":"ViT-B/16","Fine-tuning dataset":"DOCCI","Evaluation Protocol":"zero-shot"}. This record does not assert independent reproduction.

### GOAL

Top-1 Accuracy: 59.48. Result ID: 699879f65698665ec4daa448.

[Reporting paper](<https://www.sota2.com/research/paper/6937ad116cfd488761a4e83d.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa77941e209131cea74164.md>)

[Implementation](<https://github.com/PerceptualAI-Lab/GOAL/tree/main/datasets>)

Recorded evaluation configuration: {"Backbone":"ViT-B/16","Fine-tuning dataset":"DCI","Evaluation Protocol":"zero-shot"}. This record does not assert independent reproduction.

### GOAL

Top-1 Accuracy: 58.09. Result ID: 699879f65698665ec4daa446.

[Reporting paper](<https://www.sota2.com/research/paper/6937ad116cfd488761a4e83d.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa77941e209131cea74164.md>)

[Implementation](<https://github.com/PerceptualAI-Lab/GOAL/tree/main/datasets>)

Recorded evaluation configuration: {"Backbone":"ViT-B/16","Fine-tuning dataset":"DOCCI","Evaluation Protocol":"zero-shot"}. This record does not assert independent reproduction.

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