# Image Classification on Stanford Cars (25% subset)

Source: [Image Classification on Stanford Cars (25% subset)](<https://www.sota2.com/research/sota/image-classification-on-stanford-cars-25-percent-subset>)

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

Data updated: 2026-02-26T06:07:01.318Z

Evaluation of Image Classification performance using the 25% subset of the Stanford Cars 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 Classification |
| Dataset (including any stated split) | Stanford Cars 25% subset |
| 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-stanford-cars-25-percent-subset.md?metric=Top-1%20Accuracy>): Higher is better; unit: PERCENT.

## Recorded results

| Method | Top-1 Accuracy | Result date | Report paper |
| --- | --- | --- | --- |
| MGR | 53.16 | Not recorded | 68fa70f31e209131cea4e4b2 |
| Base Model | 49.33 | Not recorded | 68fa70f31e209131cea4e4b2 |
| GDA+SSL | 47.8 | Not recorded | 68fa70f31e209131cea4e4b2 |
| GDA+MH | 46.63 | Not recorded | 68fa70f31e209131cea4e4b2 |
| GDA | 46.56 | Not recorded | 68fa70f31e209131cea4e4b2 |

### MGR

Top-1 Accuracy: 53.16. Result ID: 699168153a6c31484907eda9.

[Reporting paper](<https://www.sota2.com/research/paper/68fa70f31e209131cea4e4b2.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa70f31e209131cea4e4b2.md>)

Recorded evaluation configuration: {"Backbone":"ResNet18","Input Resolution":"224x224","Batch size":"64","Training epochs":"200"}. This record does not assert independent reproduction.

### Base Model

Top-1 Accuracy: 49.33. Result ID: 699168153a6c31484907eda5.

[Reporting paper](<https://www.sota2.com/research/paper/68fa70f31e209131cea4e4b2.md>)

Recorded evaluation configuration: {"Backbone":"ResNet18","Input Resolution":"224x224","Batch size":"64","Training epochs":"200"}. This record does not assert independent reproduction.

### GDA+SSL

Top-1 Accuracy: 47.8. Result ID: 699168153a6c31484907eda8.

[Reporting paper](<https://www.sota2.com/research/paper/68fa70f31e209131cea4e4b2.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa770f1e209131cea70dd7.md>)

Recorded evaluation configuration: {"Backbone":"ResNet18","Input Resolution":"224x224","Batch size":"64","Training epochs":"200"}. This record does not assert independent reproduction.

### GDA+MH

Top-1 Accuracy: 46.63. Result ID: 699168153a6c31484907eda7.

[Reporting paper](<https://www.sota2.com/research/paper/68fa70f31e209131cea4e4b2.md>)

Recorded evaluation configuration: {"Backbone":"ResNet18","Input Resolution":"224x224","Batch size":"64","Training epochs":"200"}. This record does not assert independent reproduction.

### GDA

Top-1 Accuracy: 46.56. Result ID: 699168153a6c31484907eda6.

[Reporting paper](<https://www.sota2.com/research/paper/68fa70f31e209131cea4e4b2.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa649b1e209131cea057fe.md>)

Recorded evaluation configuration: {"Backbone":"ResNet18","Input Resolution":"224x224","Batch size":"64","Training epochs":"200"}. This record does not assert independent reproduction.

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