# Image Classification on Semi-iNat Family granularity

Source: [Image Classification on Semi-iNat Family granularity](<https://www.sota2.com/research/sota/image-classification-on-semi-inat-family-granularity>)

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

Data updated: 2026-03-10T13:04:28.008Z

Evaluation of Image Classification performance on the Semi-iNat Family granularity dataset, measured using Top-1 and Top-5 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 Classification |
| Dataset (including any stated split) | Semi-iNat Family granularity |
| Metric | Top-1 Accuracy |
| Unit | PERCENT |
| Direction | Higher is better |
| Results loaded | 5 of 5 |
| 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 Accuracy](<https://www.sota2.com/research/sota/image-classification-on-semi-inat-family-granularity.md?metric=Top-1%20Accuracy>): Higher is better; unit: PERCENT.

- [Top-5 Accuracy](<https://www.sota2.com/research/sota/image-classification-on-semi-inat-family-granularity.md?metric=Top-5%20Accuracy>): Higher is better; unit: PERCENT.

## Recorded results

| Method | Top-1 Accuracy | Result date | Report paper |
| --- | --- | --- | --- |
| Baseline | 47.85 | Not recorded | 69afa5bd2d603e6de3e43eec |
| Diff-Mix | 45.06 | Not recorded | 69afa5bd2d603e6de3e43eec |
| Real Guidance | 44.78 | Not recorded | 69afa5bd2d603e6de3e43eec |
| Diff-Aug | 43.96 | Not recorded | 69afa5bd2d603e6de3e43eec |
| GIF | 43.91 | Not recorded | 69afa5bd2d603e6de3e43eec |

### Baseline

Top-1 Accuracy: 47.85. Result ID: 69b016c56dbb7075b95a2347.

[Reporting paper](<https://www.sota2.com/research/paper/69afa5bd2d603e6de3e43eec.md>)

Recorded evaluation configuration: Not recorded. This record does not assert independent reproduction.

### Diff-Mix

Top-1 Accuracy: 45.06. Result ID: 69b016c56dbb7075b95a234b.

[Reporting paper](<https://www.sota2.com/research/paper/69afa5bd2d603e6de3e43eec.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa72ae1e209131cea57d48.md>)

Recorded evaluation configuration: Not recorded. This record does not assert independent reproduction.

### Real Guidance

Top-1 Accuracy: 44.78. Result ID: 69b016c56dbb7075b95a2348.

[Reporting paper](<https://www.sota2.com/research/paper/69afa5bd2d603e6de3e43eec.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6e8b1e209131cea40739.md>)

Recorded evaluation configuration: Not recorded. This record does not assert independent reproduction.

### Diff-Aug

Top-1 Accuracy: 43.96. Result ID: 69b016c56dbb7075b95a234a.

[Reporting paper](<https://www.sota2.com/research/paper/69afa5bd2d603e6de3e43eec.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa72ae1e209131cea57d48.md>)

Recorded evaluation configuration: Not recorded. This record does not assert independent reproduction.

### GIF

Top-1 Accuracy: 43.91. Result ID: 69b016c56dbb7075b95a2349.

[Reporting paper](<https://www.sota2.com/research/paper/69afa5bd2d603e6de3e43eec.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa70cc1e209131cea4d37b.md>)

[Implementation](<https://github.com/Vanint/DatasetExpansion>)

Recorded evaluation configuration: Not recorded. This record does not assert independent reproduction.

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