# Image Classification on Kenyan Food13

Source: [Image Classification on Kenyan Food13](<https://www.sota2.com/research/sota/image-classification-on-kenyan-food13>)

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

Data updated: 2026-02-26T05:29:56.744Z

Evaluation of Image Classification performance on the Kenyan Food13 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 | Image Classification |
| Dataset (including any stated split) | Kenyan Food13 |
| 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/image-classification-on-kenyan-food13.md?metric=Accuracy>): Higher is better; unit: PERCENT.

## Recorded results

| Method | Accuracy | Result date | Report paper |
| --- | --- | --- | --- |
| Individual | 85.53 | Not recorded | 68fa74f31e209131cea64c99 |
| EMR-MERGING | 74.12 | Not recorded | 68fa74f31e209131cea64c99 |
| RegMean | 57.11 | Not recorded | 68fa74f31e209131cea64c99 |
| AdaMerging | 48.66 | Not recorded | 68fa74f31e209131cea64c99 |
| Task Arithmetic | 36.32 | Not recorded | 68fa74f31e209131cea64c99 |
| Weight Averaging | 33.55 | Not recorded | 68fa74f31e209131cea64c99 |
| Ties-Merging | 19.9 | Not recorded | 68fa74f31e209131cea64c99 |

### Individual

Accuracy: 85.53. Result ID: 69936be43a6c31484915cee3.

[Reporting paper](<https://www.sota2.com/research/paper/68fa74f31e209131cea64c99.md>)

Recorded evaluation configuration: {"Backbone":"ViT-B/16","Pre-trained":"ImageNet-21k","Number of Merged Models":"1"}. This record does not assert independent reproduction.

### EMR-MERGING

Accuracy: 74.12. Result ID: 69936be43a6c31484915cee9.

[Reporting paper](<https://www.sota2.com/research/paper/68fa74f31e209131cea64c99.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa74f31e209131cea64c99.md>)

[Implementation](<https://github.com/harveyhuang18/EMR_Merging>)

Recorded evaluation configuration: {"Backbone":"ViT-B/16","Pre-trained":"ImageNet-21k","Number of Merged Models":"30"}. This record does not assert independent reproduction.

### RegMean

Accuracy: 57.11. Result ID: 69936be43a6c31484915cee5.

[Reporting paper](<https://www.sota2.com/research/paper/68fa74f31e209131cea64c99.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa78ba1e209131cea7a165.md>)

Recorded evaluation configuration: {"Backbone":"ViT-B/16","Pre-trained":"ImageNet-21k","Number of Merged Models":"30"}. This record does not assert independent reproduction.

### AdaMerging

Accuracy: 48.66. Result ID: 69936be43a6c31484915cee8.

[Reporting paper](<https://www.sota2.com/research/paper/68fa74f31e209131cea64c99.md>)

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

Recorded evaluation configuration: {"Backbone":"ViT-B/16","Pre-trained":"ImageNet-21k","Number of Merged Models":"30"}. This record does not assert independent reproduction.

### Task Arithmetic

Accuracy: 36.32. Result ID: 69936be43a6c31484915cee6.

[Reporting paper](<https://www.sota2.com/research/paper/68fa74f31e209131cea64c99.md>)

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

Recorded evaluation configuration: {"Backbone":"ViT-B/16","Pre-trained":"ImageNet-21k","Number of Merged Models":"30"}. This record does not assert independent reproduction.

### Weight Averaging

Accuracy: 33.55. Result ID: 69936be43a6c31484915cee4.

[Reporting paper](<https://www.sota2.com/research/paper/68fa74f31e209131cea64c99.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6ce11e209131cea3679c.md>)

[Implementation](<https://github.com/mlfoundations/model-soups>)

Recorded evaluation configuration: {"Backbone":"ViT-B/16","Pre-trained":"ImageNet-21k","Number of Merged Models":"30"}. This record does not assert independent reproduction.

### Ties-Merging

Accuracy: 19.9. Result ID: 69936be43a6c31484915cee7.

[Reporting paper](<https://www.sota2.com/research/paper/68fa74f31e209131cea64c99.md>)

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

Recorded evaluation configuration: {"Backbone":"ViT-B/16","Pre-trained":"ImageNet-21k","Number of Merged Models":"30"}. This record does not assert independent reproduction.

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