# Image Classification on ImageNet unseen prompts

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

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

Data updated: 2026-02-26T05:29:03.064Z

Evaluation of Image Classification performance on the ImageNet dataset using the 'unseen prompts' evaluation protocol.

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 unseen prompts |
| Metric | Accuracy |
| Unit | PERCENT |
| Direction | Higher is better |
| Results loaded | 4 of 4 |
| 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-unseen-prompts.md?metric=Accuracy>): Higher is better; unit: PERCENT.

## Recorded results

| Method | Accuracy | Result date | Report paper |
| --- | --- | --- | --- |
| Bayesian Prompt Learning | 70.93 | Not recorded | 68fa70571e209131cea4a691 |
| CoCoOp | 70.43 | Not recorded | 68fa70571e209131cea4a691 |
| ProDA | 70.23 | Not recorded | 68fa70571e209131cea4a691 |
| CoOp | 67.88 | Not recorded | 68fa70571e209131cea4a691 |

### Bayesian Prompt Learning

Accuracy: 70.93. Result ID: 699114e73a6c314849058972.

[Reporting paper](<https://www.sota2.com/research/paper/68fa70571e209131cea4a691.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa70571e209131cea4a691.md>)

[Implementation](<https://github.com/saic-fi/Bayesian-Prompt-Learning>)

Recorded evaluation configuration: {"Mode":"Unseen prompts generalization"}. This record does not assert independent reproduction.

### CoCoOp

Accuracy: 70.43. Result ID: 699114e73a6c314849058970.

[Reporting paper](<https://www.sota2.com/research/paper/68fa70571e209131cea4a691.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6d8c1e209131cea3a831.md>)

[Implementation](<https://github.com/KaiyangZhou/CoOp>)

Recorded evaluation configuration: {"Mode":"Unseen prompts generalization"}. This record does not assert independent reproduction.

### ProDA

Accuracy: 70.23. Result ID: 699114e73a6c314849058971.

[Reporting paper](<https://www.sota2.com/research/paper/68fa70571e209131cea4a691.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6c771e209131cea34184.md>)

Recorded evaluation configuration: {"Mode":"Unseen prompts generalization"}. This record does not assert independent reproduction.

### CoOp

Accuracy: 67.88. Result ID: 699114e73a6c31484905896f.

[Reporting paper](<https://www.sota2.com/research/paper/68fa70571e209131cea4a691.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6d8b1e209131cea3a814.md>)

[Implementation](<https://github.com/KaiyangZhou/CoOp>)

Recorded evaluation configuration: {"Mode":"Unseen prompts generalization"}. This record does not assert independent reproduction.

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