# Fine-grained Image Classification on Stanford Cars-196

Source: [Fine-grained Image Classification on Stanford Cars-196](<https://www.sota2.com/research/sota/fine-grained-image-classification-on-stanford-cars-196>)

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

Data updated: 2026-06-02T13:41:37.660Z

Evaluation of Fine-grained Image Classification performance on the Stanford Cars-196 dataset, reporting standard 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) | Stanford Cars-196 |
| 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/fine-grained-image-classification-on-stanford-cars-196.md?metric=Accuracy>): Higher is better; unit: PERCENT.

## Recorded results

| Method | Accuracy | Result date | Report paper |
| --- | --- | --- | --- |
| ToolFG | 83.4 | Not recorded | 6a1e6454dbd7150506f859f6 |
| PromptSRC | 76.8 | Not recorded | 6a1e6454dbd7150506f859f6 |
| MaPLe | 68.9 | Not recorded | 6a1e6454dbd7150506f859f6 |
| DiVE-k | 66.9 | Not recorded | 6a1e6454dbd7150506f859f6 |
| ViRFT | 64.8 | Not recorded | 6a1e6454dbd7150506f859f6 |
| Fine-R1 | 64.1 | Not recorded | 6a1e6454dbd7150506f859f6 |
| Qwen2.5-VL-7B | 57.9 | Not recorded | 6a1e6454dbd7150506f859f6 |

### ToolFG

Accuracy: 83.4. Result ID: 6a1edd74fbc373592c1b08d6.

[Reporting paper](<https://www.sota2.com/research/paper/6a1e6454dbd7150506f859f6.md>)

[Method origin paper](<https://www.sota2.com/research/paper/6a1e6454dbd7150506f859f6.md>)

Recorded evaluation configuration: {"shot":"4"}. This record does not assert independent reproduction.

### PromptSRC

Accuracy: 76.8. Result ID: 6a1edd74fbc373592c1b08d2.

[Reporting paper](<https://www.sota2.com/research/paper/6a1e6454dbd7150506f859f6.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa705e1e209131cea4aa58.md>)

Recorded evaluation configuration: {"shot":"4"}. This record does not assert independent reproduction.

### MaPLe

Accuracy: 68.9. Result ID: 6a1edd74fbc373592c1b08d1.

[Reporting paper](<https://www.sota2.com/research/paper/6a1e6454dbd7150506f859f6.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6ef21e209131cea4311c.md>)

[Implementation](<https://github.com/muzairkhattak/multimodal-prompt-learning>)

Recorded evaluation configuration: {"shot":"4"}. This record does not assert independent reproduction.

### DiVE-k

Accuracy: 66.9. Result ID: 6a1edd74fbc373592c1b08d4.

[Reporting paper](<https://www.sota2.com/research/paper/6a1e6454dbd7150506f859f6.md>)

[Method origin paper](<https://www.sota2.com/research/paper/69253806d6b0dd334292f3a4.md>)

Recorded evaluation configuration: {"shot":"4"}. This record does not assert independent reproduction.

### ViRFT

Accuracy: 64.8. Result ID: 6a1edd74fbc373592c1b08d3.

[Reporting paper](<https://www.sota2.com/research/paper/6a1e6454dbd7150506f859f6.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa77381e209131cea71c39.md>)

Recorded evaluation configuration: {"shot":"4"}. This record does not assert independent reproduction.

### Fine-R1

Accuracy: 64.1. Result ID: 6a1edd74fbc373592c1b08d5.

[Reporting paper](<https://www.sota2.com/research/paper/6a1e6454dbd7150506f859f6.md>)

[Method origin paper](<https://www.sota2.com/research/paper/698abb81c97a0b3e3b5ddf45.md>)

Recorded evaluation configuration: {"shot":"4"}. This record does not assert independent reproduction.

### Qwen2.5-VL-7B

Accuracy: 57.9. Result ID: 6a1edd74fbc373592c1b08d0.

[Reporting paper](<https://www.sota2.com/research/paper/6a1e6454dbd7150506f859f6.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa773a1e209131cea71d3c.md>)

Recorded evaluation configuration: {"shot":"4"}. This record does not assert independent reproduction.

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