# Image Classification on SVHN → MNIST-LT IF=50 (test)

Source: [Image Classification on SVHN → MNIST-LT IF=50 (test)](<https://www.sota2.com/research/sota/image-classification-on-svhn-mnist-lt-if-50-test>)

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

Data updated: 2026-02-26T05:35:20.365Z

Evaluation of Image Classification performance on the test split of the Long-Tailed (LT) version of the MNIST dataset adapted from SVHN, specifically configured with an imbalance factor (IF) of 50.

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) | SVHN → MNIST-LT IF=50 (test) |
| Metric | Average Class 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

- [Average Class Accuracy](<https://www.sota2.com/research/sota/image-classification-on-svhn-mnist-lt-if-50-test.md?metric=Average%20Class%20Accuracy>): Higher is better; unit: PERCENT.

## Recorded results

| Method | Average Class Accuracy | Result date | Report paper |
| --- | --- | --- | --- |
| SENTRY | 85.6 | Not recorded | 68fa6afc1e209131cea2b86e |
| COAL | 70.2 | Not recorded | 68fa6afc1e209131cea2b86e |
| InstaPBM | 68.9 | Not recorded | 68fa6afc1e209131cea2b86e |
| source | 68.1 | Not recorded | 68fa6afc1e209131cea2b86e |
| DANN | 66.9 | Not recorded | 68fa6afc1e209131cea2b86e |
| MMD | 56.2 | Not recorded | 68fa6afc1e209131cea2b86e |

### SENTRY

Average Class Accuracy: 85.6. Result ID: 698e4972ffc3901de09c54a1.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6afc1e209131cea2b86e.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6afc1e209131cea2b86e.md>)

[Implementation](<https://github.com/virajprabhu/SENTRY>)

Recorded evaluation configuration: Not recorded. This record does not assert independent reproduction.

### COAL

Average Class Accuracy: 70.2. Result ID: 698e4972ffc3901de09c549f.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6afc1e209131cea2b86e.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa68671e209131cea1be3b.md>)

Recorded evaluation configuration: Not recorded. This record does not assert independent reproduction.

### InstaPBM

Average Class Accuracy: 68.9. Result ID: 698e4972ffc3901de09c54a0.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6afc1e209131cea2b86e.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa67d21e209131cea18aee.md>)

Recorded evaluation configuration: Not recorded. This record does not assert independent reproduction.

### source

Average Class Accuracy: 68.1. Result ID: 698e4972ffc3901de09c549c.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6afc1e209131cea2b86e.md>)

Recorded evaluation configuration: Not recorded. This record does not assert independent reproduction.

### DANN

Average Class Accuracy: 66.9. Result ID: 698e4972ffc3901de09c549e.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6afc1e209131cea2b86e.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa61b71e209131ce9f5a50.md>)

Recorded evaluation configuration: Not recorded. This record does not assert independent reproduction.

### MMD

Average Class Accuracy: 56.2. Result ID: 698e4972ffc3901de09c549d.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6afc1e209131cea2b86e.md>)

Recorded evaluation configuration: Not recorded. This record does not assert independent reproduction.

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