# k-NN Image Classification on Food101

Source: [k-NN Image Classification on Food101](<https://www.sota2.com/research/sota/k-nn-image-classification-on-food101>)

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

Data updated: 2026-02-26T05:33:05.219Z

Evaluation of k-Nearest Neighbors (k-NN) performance for Image Classification on the Food101 dataset.

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 | k-NN Image Classification |
| Dataset (including any stated split) | Food101 |
| Metric | Accuracy |
| Unit | PERCENT |
| Direction | Higher is better |
| Results loaded | 7 of 7 |
| 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/k-nn-image-classification-on-food101.md?metric=Accuracy>): Higher is better; unit: PERCENT.

## Recorded results

| Method | Accuracy | Result date | Report paper |
| --- | --- | --- | --- |
| LoRA | 80.3 | Not recorded | 68fa7be61e209131cea8b292 |
| EP | 75.2 | Not recorded | 68fa7be61e209131cea8b292 |
| LoRA | 65.6 | Not recorded | 68fa7be61e209131cea8b292 |
| EP | 64.2 | Not recorded | 68fa7be61e209131cea8b292 |
| EP | 42 | Not recorded | 68fa7be61e209131cea8b292 |
| LoRA | 38.7 | Not recorded | 68fa7be61e209131cea8b292 |
| frozen MAE backbone | 28.8 | Not recorded | 68fa7be61e209131cea8b292 |

### LoRA

Accuracy: 80.3. Result ID: 699ae28c5698665ec47284d2.

[Reporting paper](<https://www.sota2.com/research/paper/68fa7be61e209131cea8b292.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6b121e209131cea2bf59.md>)

[Implementation](<https://github.com/microsoft/LoRA>)

Recorded evaluation configuration: {"Tuned on":"Food-101","Backbone":"MAE ViT-B","Rank":"rho=8"}. This record does not assert independent reproduction.

### EP

Accuracy: 75.2. Result ID: 699ae28c5698665ec47284cf.

[Reporting paper](<https://www.sota2.com/research/paper/68fa7be61e209131cea8b292.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa7be61e209131cea8b292.md>)

Recorded evaluation configuration: {"Probed on":"Food-101","Backbone":"MAE ViT-B","Configuration":"EP32"}. This record does not assert independent reproduction.

### LoRA

Accuracy: 65.6. Result ID: 699ae28c5698665ec47284d0.

[Reporting paper](<https://www.sota2.com/research/paper/68fa7be61e209131cea8b292.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6b121e209131cea2bf59.md>)

[Implementation](<https://github.com/microsoft/LoRA>)

Recorded evaluation configuration: {"Tuned on":"ImageNet-1K","Backbone":"MAE ViT-B","Rank":"rho=8"}. This record does not assert independent reproduction.

### EP

Accuracy: 64.2. Result ID: 699ae28c5698665ec47284cd.

[Reporting paper](<https://www.sota2.com/research/paper/68fa7be61e209131cea8b292.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa7be61e209131cea8b292.md>)

Recorded evaluation configuration: {"Probed on":"ImageNet-1K","Backbone":"MAE ViT-B","Configuration":"EP32"}. This record does not assert independent reproduction.

### EP

Accuracy: 42. Result ID: 699ae28c5698665ec47284ce.

[Reporting paper](<https://www.sota2.com/research/paper/68fa7be61e209131cea8b292.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa7be61e209131cea8b292.md>)

Recorded evaluation configuration: {"Probed on":"StanfordCars","Backbone":"MAE ViT-B","Configuration":"EP32"}. This record does not assert independent reproduction.

### LoRA

Accuracy: 38.7. Result ID: 699ae28c5698665ec47284d1.

[Reporting paper](<https://www.sota2.com/research/paper/68fa7be61e209131cea8b292.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6b121e209131cea2bf59.md>)

[Implementation](<https://github.com/microsoft/LoRA>)

Recorded evaluation configuration: {"Tuned on":"StanfordCars","Backbone":"MAE ViT-B","Rank":"rho=8"}. This record does not assert independent reproduction.

### frozen MAE backbone

Accuracy: 28.8. Result ID: 699ae28c5698665ec47284cc.

[Reporting paper](<https://www.sota2.com/research/paper/68fa7be61e209131cea8b292.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6b7f1e209131cea2e973.md>)

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

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