# Image Classification on Seen Tasks (EuroSAT, SVHN, GTSRB, MNIST) (test)

Source: [Image Classification on Seen Tasks (EuroSAT, SVHN, GTSRB, MNIST) (test)](<https://www.sota2.com/research/sota/image-classification-on-seen-tasks-eurosat-svhn-gtsrb-mnist-test>)

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

Data updated: 2026-03-05T09:00:02.740Z

Aggregate evaluation of Image Classification performance across the test splits of four datasets: EuroSAT, SVHN, GTSRB, and MNIST.

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) | Seen Tasks (EuroSAT, SVHN, GTSRB, MNIST) (test) |
| Metric | EuroSAT Accuracy |
| Unit | PERCENT |
| Direction | Higher is better |
| Results loaded | 6 of 6 |
| 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

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

- [SVHN Accuracy](<https://www.sota2.com/research/sota/image-classification-on-seen-tasks-eurosat-svhn-gtsrb-mnist-test.md?metric=SVHN%20Accuracy>): Higher is better; unit: PERCENT.

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

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

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

## Recorded results

| Method | EuroSAT Accuracy | Result date | Report paper |
| --- | --- | --- | --- |
| BD-Merging | 97.13 | Not recorded | 69a90e142d603e6de3e408af |
| Twin-Merging | 94.83 | Not recorded | 69a90e142d603e6de3e408af |
| AdaMerging | 89.85 | Not recorded | 69a90e142d603e6de3e408af |
| Task Arithmetic | 75.8 | Not recorded | 69a90e142d603e6de3e408af |
| Ties-Merging | 70.85 | Not recorded | 69a90e142d603e6de3e408af |
| Pretrained | 43.6 | Not recorded | 69a90e142d603e6de3e408af |

### BD-Merging

EuroSAT Accuracy: 97.13. Result ID: 69a945fe6dbb7075b952e3ab.

[Reporting paper](<https://www.sota2.com/research/paper/69a90e142d603e6de3e408af.md>)

[Method origin paper](<https://www.sota2.com/research/paper/69a90e142d603e6de3e408af.md>)

Recorded evaluation configuration: {"Backbone":"ViT-B/32","Weights":"Layer-wise"}. This record does not assert independent reproduction.

### Twin-Merging

EuroSAT Accuracy: 94.83. Result ID: 69a945fe6dbb7075b952e3aa.

[Reporting paper](<https://www.sota2.com/research/paper/69a90e142d603e6de3e408af.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa75381e209131cea66883.md>)

Recorded evaluation configuration: {"Backbone":"ViT-B/32","Weights":"Layer-wise"}. This record does not assert independent reproduction.

### AdaMerging

EuroSAT Accuracy: 89.85. Result ID: 69a945fe6dbb7075b952e3a9.

[Reporting paper](<https://www.sota2.com/research/paper/69a90e142d603e6de3e408af.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa73691e209131cea5c535.md>)

Recorded evaluation configuration: {"Backbone":"ViT-B/32","Weights":"Layer-wise"}. This record does not assert independent reproduction.

### Task Arithmetic

EuroSAT Accuracy: 75.8. Result ID: 69a945fe6dbb7075b952e3a7.

[Reporting paper](<https://www.sota2.com/research/paper/69a90e142d603e6de3e408af.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6ef01e209131cea43012.md>)

Recorded evaluation configuration: {"Backbone":"ViT-B/32","Weights":"Layer-wise"}. This record does not assert independent reproduction.

### Ties-Merging

EuroSAT Accuracy: 70.85. Result ID: 69a945fe6dbb7075b952e3a8.

[Reporting paper](<https://www.sota2.com/research/paper/69a90e142d603e6de3e408af.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa71091e209131cea4ecd8.md>)

Recorded evaluation configuration: {"Backbone":"ViT-B/32","Weights":"Layer-wise"}. This record does not assert independent reproduction.

### Pretrained

EuroSAT Accuracy: 43.6. Result ID: 69a945fe6dbb7075b952e3a6.

[Reporting paper](<https://www.sota2.com/research/paper/69a90e142d603e6de3e408af.md>)

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

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

Recorded evaluation configuration: {"Backbone":"ViT-B/32"}. This record does not assert independent reproduction.

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