# Image Classification on Fashion-MNIST (test) (kNN and SR)

Source: [Image Classification on Fashion-MNIST (test) (kNN and SR)](<https://www.sota2.com/research/sota/image-classification-on-fashion-mnist-test-knn-and-sr>)

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

Data updated: 2026-05-07T07:56:02.104Z

Evaluation of Image Classification performance on the test split of the Fashion-MNIST dataset, specifically reporting metrics derived from kNN and SR methodologies.

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) | Fashion-MNIST (test) |
| Metric | kNN 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

- [kNN Accuracy](<https://www.sota2.com/research/sota/image-classification-on-fashion-mnist-test-knn-and-sr.md?metric=kNN%20Accuracy>): Higher is better; unit: PERCENT.

- [SR Accuracy](<https://www.sota2.com/research/sota/image-classification-on-fashion-mnist-test-knn-and-sr.md?metric=SR%20Accuracy>): Higher is better; unit: PERCENT.

## Recorded results

| Method | kNN Accuracy | Result date | Report paper |
| --- | --- | --- | --- |
| PiNDA | 79.35 | Not recorded | 68fa74811e209131cea62036 |
| PiNDA | 79.08 | Not recorded | 68fa74811e209131cea62036 |
| Random | 78.44 | Not recorded | 68fa74811e209131cea62036 |
| SimCL | 67 | Not recorded | 68fa74811e209131cea62036 |

### PiNDA

kNN Accuracy: 79.35. Result ID: 69fc454847f34ce924dec0fb.

[Reporting paper](<https://www.sota2.com/research/paper/68fa74811e209131cea62036.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa74811e209131cea62036.md>)

Recorded evaluation configuration: {"batch size":"256","setting":"mu=0"}. This record does not assert independent reproduction.

### PiNDA

kNN Accuracy: 79.08. Result ID: 69fc454847f34ce924dec0fc.

[Reporting paper](<https://www.sota2.com/research/paper/68fa74811e209131cea62036.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa74811e209131cea62036.md>)

Recorded evaluation configuration: {"batch size":"256","setting":"mu!=0"}. This record does not assert independent reproduction.

### Random

kNN Accuracy: 78.44. Result ID: 69fc454847f34ce924dec0fa.

[Reporting paper](<https://www.sota2.com/research/paper/68fa74811e209131cea62036.md>)

Recorded evaluation configuration: {"batch size":"256"}. This record does not assert independent reproduction.

### SimCL

kNN Accuracy: 67. Result ID: 69fc454847f34ce924dec0f9.

[Reporting paper](<https://www.sota2.com/research/paper/68fa74811e209131cea62036.md>)

Recorded evaluation configuration: {"batch size":"256"}. This record does not assert independent reproduction.

Page 1 of 1. This is an index page, not the full collection.
