# Fine-grained Image Classification on iNaturalist 2021 (test)

Source: [Fine-grained Image Classification on iNaturalist 2021 (test)](<https://www.sota2.com/research/sota/fine-grained-image-classification-on-inaturalist-2021-test>)

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

Data updated: 2026-02-26T05:28:09.581Z

Evaluation of Fine-grained Image Classification performance on the test split of the iNaturalist 2021 dataset, typically measured by 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 | Fine-grained Image Classification |
| Dataset (including any stated split) | iNaturalist 2021 (test) |
| Metric | Accuracy |
| Unit | PERCENT |
| Direction | Higher is better |
| Results loaded | 8 of 8 |
| 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/fine-grained-image-classification-on-inaturalist-2021-test.md?metric=Accuracy>): Higher is better; unit: PERCENT.

## Recorded results

| Method | Accuracy | Result date | Report paper |
| --- | --- | --- | --- |
| MetaFormer-2 | 93.6 | Not recorded | 68fa6bef1e209131cea30faf |
| MetaFormer-1 | 93.4 | Not recorded | 68fa6bef1e209131cea30faf |
| MetaFormer-2 | 93.2 | Not recorded | 68fa6bef1e209131cea30faf |
| MetaFormer-0 | 92.6 | Not recorded | 68fa6bef1e209131cea30faf |
| MetaFormer-2 | 90.3 | Not recorded | 68fa6bef1e209131cea30faf |
| MetaFormer-1 | 90.2 | Not recorded | 68fa6bef1e209131cea30faf |
| MetaFormer-2 | 89.8 | Not recorded | 68fa6bef1e209131cea30faf |
| MetaFormer-0 | 88.4 | Not recorded | 68fa6bef1e209131cea30faf |

### MetaFormer-2

Accuracy: 93.6. Result ID: 698ea8efffc3901de09f8e16.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6bef1e209131cea30faf.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6bef1e209131cea30faf.md>)

[Implementation](<https://github.com/dqshuai/MetaFormer>)

Recorded evaluation configuration: {"Backbone":"MetaFormer-2","Pre-training":"ImageNet-21k","Image size":384,"Meta method":"Transformer"}. This record does not assert independent reproduction.

### MetaFormer-1

Accuracy: 93.4. Result ID: 698ea8efffc3901de09f8e12.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6bef1e209131cea30faf.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6bef1e209131cea30faf.md>)

[Implementation](<https://github.com/dqshuai/MetaFormer>)

Recorded evaluation configuration: {"Backbone":"MetaFormer-1","Pre-training":"ImageNet-1k","Image size":384,"Meta method":"Transformer"}. This record does not assert independent reproduction.

### MetaFormer-2

Accuracy: 93.2. Result ID: 698ea8efffc3901de09f8e14.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6bef1e209131cea30faf.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6bef1e209131cea30faf.md>)

[Implementation](<https://github.com/dqshuai/MetaFormer>)

Recorded evaluation configuration: {"Backbone":"MetaFormer-2","Pre-training":"ImageNet-1k","Image size":384,"Meta method":"Transformer"}. This record does not assert independent reproduction.

### MetaFormer-0

Accuracy: 92.6. Result ID: 698ea8efffc3901de09f8e10.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6bef1e209131cea30faf.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6bef1e209131cea30faf.md>)

[Implementation](<https://github.com/dqshuai/MetaFormer>)

Recorded evaluation configuration: {"Backbone":"MetaFormer-0","Pre-training":"ImageNet-1k","Image size":384,"Meta method":"Transformer"}. This record does not assert independent reproduction.

### MetaFormer-2

Accuracy: 90.3. Result ID: 698ea8efffc3901de09f8e15.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6bef1e209131cea30faf.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6bef1e209131cea30faf.md>)

[Implementation](<https://github.com/dqshuai/MetaFormer>)

Recorded evaluation configuration: {"Backbone":"MetaFormer-2","Pre-training":"ImageNet-21k","Image size":384,"Meta method":"Image-Only"}. This record does not assert independent reproduction.

### MetaFormer-1

Accuracy: 90.2. Result ID: 698ea8efffc3901de09f8e11.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6bef1e209131cea30faf.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6bef1e209131cea30faf.md>)

[Implementation](<https://github.com/dqshuai/MetaFormer>)

Recorded evaluation configuration: {"Backbone":"MetaFormer-1","Pre-training":"ImageNet-1k","Image size":384,"Meta method":"Image-Only"}. This record does not assert independent reproduction.

### MetaFormer-2

Accuracy: 89.8. Result ID: 698ea8efffc3901de09f8e13.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6bef1e209131cea30faf.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6bef1e209131cea30faf.md>)

[Implementation](<https://github.com/dqshuai/MetaFormer>)

Recorded evaluation configuration: {"Backbone":"MetaFormer-2","Pre-training":"ImageNet-1k","Image size":384,"Meta method":"Image-Only"}. This record does not assert independent reproduction.

### MetaFormer-0

Accuracy: 88.4. Result ID: 698ea8efffc3901de09f8e0f.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6bef1e209131cea30faf.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6bef1e209131cea30faf.md>)

[Implementation](<https://github.com/dqshuai/MetaFormer>)

Recorded evaluation configuration: {"Backbone":"MetaFormer-0","Pre-training":"ImageNet-1k","Image size":384,"Meta method":"Image-Only"}. This record does not assert independent reproduction.

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