# Image Recognition on Food-101

Source: [Image Recognition on Food-101](<https://www.sota2.com/research/sota/image-recognition-on-food-101>)

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

Data updated: 2026-02-26T06:06:45.535Z

Evaluation of Image Recognition performance on the Food-101 dataset, reporting Top-1 Accuracy.

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 Recognition |
| Dataset (including any stated split) | Food-101 |
| Metric | Top-1 Acc |
| Unit | PERCENT |
| Direction | Higher is better |
| Results loaded | 1 of 1 |
| 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

- [Top-1 Acc](<https://www.sota2.com/research/sota/image-recognition-on-food-101.md?metric=Top-1%20Acc>): Higher is better; unit: PERCENT.

## Recorded results

| Method | Top-1 Acc | Result date | Report paper |
| --- | --- | --- | --- |
| AIMv2 | 97.4 | Not recorded | 68fa75db1e209131cea6a431 |

### AIMv2

Top-1 Acc: 97.4. Result ID: 6993e8ac3a6c31484919630b.

[Reporting paper](<https://www.sota2.com/research/paper/68fa75db1e209131cea6a431.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa75db1e209131cea6a431.md>)

[Implementation](<https://github.com/apple/ml-aim>)

Recorded evaluation configuration: {"architecture":"ViT-3B/14","Resolution":"448px"}. This record does not assert independent reproduction.

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