# Image Classification on ImageNet-Sketch 30

Source: [Image Classification on ImageNet-Sketch 30](<https://www.sota2.com/research/sota/image-classification-on-imagenet-sketch-30>)

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

Data updated: 2026-02-26T06:06:56.093Z

Evaluation of Image Classification performance on the ImageNet-Sketch 30 dataset, typically 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) | ImageNet-Sketch 30 |
| Metric | Top-1 Accuracy |
| Unit | PERCENT |
| Direction | Higher is better |
| Results loaded | 4 of 4 |
| 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-imagenet-sketch-30.md?metric=Top-1%20Accuracy>): Higher is better; unit: PERCENT.

- [Top-5 Accuracy](<https://www.sota2.com/research/sota/image-classification-on-imagenet-sketch-30.md?metric=Top-5%20Accuracy>): Higher is better; unit: PERCENT.

## Recorded results

| Method | Top-1 Accuracy | Result date | Report paper |
| --- | --- | --- | --- |
| RSC | 16.12 | Not recorded | 68fa67ec1e209131cea19278 |
| PAR | 15.01 | Not recorded | 68fa67ec1e209131cea19278 |
| Hex | 14.69 | Not recorded | 68fa67ec1e209131cea19278 |
| Baseline | 12.04 | Not recorded | 68fa67ec1e209131cea19278 |

### RSC

Top-1 Accuracy: 16.12. Result ID: 698d4c438b517eb43320732b.

[Reporting paper](<https://www.sota2.com/research/paper/68fa67ec1e209131cea19278.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa67ec1e209131cea19278.md>)

Recorded evaluation configuration: {"backbone":"AlexNet"}. This record does not assert independent reproduction.

### PAR

Top-1 Accuracy: 15.01. Result ID: 698d4c438b517eb43320732a.

[Reporting paper](<https://www.sota2.com/research/paper/68fa67ec1e209131cea19278.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa669c1e209131cea1167d.md>)

[Implementation](<https://github.com/HaohanWang/PAR>)

Recorded evaluation configuration: {"backbone":"AlexNet"}. This record does not assert independent reproduction.

### Hex

Top-1 Accuracy: 14.69. Result ID: 698d4c438b517eb433207329.

[Reporting paper](<https://www.sota2.com/research/paper/68fa67ec1e209131cea19278.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa65861e209131cea0ad27.md>)

Recorded evaluation configuration: {"backbone":"AlexNet"}. This record does not assert independent reproduction.

### Baseline

Top-1 Accuracy: 12.04. Result ID: 698d4c438b517eb433207328.

[Reporting paper](<https://www.sota2.com/research/paper/68fa67ec1e209131cea19278.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa66391e209131cea0ef3c.md>)

[Implementation](<https://github.com/fmcarlucci/JigenDG>)

Recorded evaluation configuration: {"backbone":"AlexNet"}. This record does not assert independent reproduction.

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