# Image Classification on ImageNet subsets 1.0 (test)

Source: [Image Classification on ImageNet subsets 1.0 (test)](<https://www.sota2.com/research/sota/image-classification-on-imagenet-subsets-1-0-test>)

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

Data updated: 2026-03-19T08:02:23.177Z

Evaluation of Image Classification performance on the test split of the ImageNet subsets version 1.0, utilizing a custom set of metrics.

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 subsets 1.0 (test) |
| Metric | Nette Score |
| 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

- [Nette Score](<https://www.sota2.com/research/sota/image-classification-on-imagenet-subsets-1-0-test.md?metric=Nette%20Score>): Higher is better; unit: PERCENT.

- [Woof Score](<https://www.sota2.com/research/sota/image-classification-on-imagenet-subsets-1-0-test.md?metric=Woof%20Score>): Higher is better; unit: PERCENT.

- [Fruit Score](<https://www.sota2.com/research/sota/image-classification-on-imagenet-subsets-1-0-test.md?metric=Fruit%20Score>): Higher is better; unit: PERCENT.

- [Yellow Score](<https://www.sota2.com/research/sota/image-classification-on-imagenet-subsets-1-0-test.md?metric=Yellow%20Score>): Higher is better; unit: PERCENT.

- [Meow Score](<https://www.sota2.com/research/sota/image-classification-on-imagenet-subsets-1-0-test.md?metric=Meow%20Score>): Higher is better; unit: PERCENT.

- [Squawk Score](<https://www.sota2.com/research/sota/image-classification-on-imagenet-subsets-1-0-test.md?metric=Squawk%20Score>): Higher is better; unit: PERCENT.

## Recorded results

| Method | Nette Score | Result date | Report paper |
| --- | --- | --- | --- |
| DDiF | 59.3 | Not recorded | 68fa7bca1e209131cea8a7fd |
| GSDD | 58.1 | Not recorded | 68fa7bca1e209131cea8a7fd |
| FreD | 36.2 | Not recorded | 68fa7bca1e209131cea8a7fd |
| LD3M | 32 | Not recorded | 68fa7bca1e209131cea8a7fd |
| H-GLaD | 30.8 | Not recorded | 68fa7bca1e209131cea8a7fd |
| GLaD | 30.4 | Not recorded | 68fa7bca1e209131cea8a7fd |
| IDC | 27.9 | Not recorded | 68fa7bca1e209131cea8a7fd |
| TM | 22 | Not recorded | 68fa7bca1e209131cea8a7fd |

### DDiF

Nette Score: 59.3. Result ID: 69bbad5947f34ce924a5580b.

[Reporting paper](<https://www.sota2.com/research/paper/68fa7bca1e209131cea8a7fd.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa77461e209131cea722c3.md>)

Recorded evaluation configuration: {"Synthesis Architecture":"ConvNet","Evaluation Architectures":"AlexNet, VGG11, ResNet18, ViT"}. This record does not assert independent reproduction.

### GSDD

Nette Score: 58.1. Result ID: 69bbad5947f34ce924a5580c.

[Reporting paper](<https://www.sota2.com/research/paper/68fa7bca1e209131cea8a7fd.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa7bca1e209131cea8a7fd.md>)

Recorded evaluation configuration: {"Synthesis Architecture":"ConvNet","Evaluation Architectures":"AlexNet, VGG11, ResNet18, ViT"}. This record does not assert independent reproduction.

### FreD

Nette Score: 36.2. Result ID: 69bbad5947f34ce924a55807.

[Reporting paper](<https://www.sota2.com/research/paper/68fa7bca1e209131cea8a7fd.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa712a1e209131cea4f9c6.md>)

[Implementation](<https://github.com/sdh0818/FreD>)

Recorded evaluation configuration: {"Synthesis Architecture":"ConvNet","Evaluation Architectures":"AlexNet, VGG11, ResNet18, ViT"}. This record does not assert independent reproduction.

### LD3M

Nette Score: 32. Result ID: 69bbad5947f34ce924a5580a.

[Reporting paper](<https://www.sota2.com/research/paper/68fa7bca1e209131cea8a7fd.md>)

Recorded evaluation configuration: {"Synthesis Architecture":"ConvNet","Evaluation Architectures":"AlexNet, VGG11, ResNet18, ViT"}. This record does not assert independent reproduction.

### H-GLaD

Nette Score: 30.8. Result ID: 69bbad5947f34ce924a55809.

[Reporting paper](<https://www.sota2.com/research/paper/68fa7bca1e209131cea8a7fd.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa77821e209131cea73b5e.md>)

Recorded evaluation configuration: {"Synthesis Architecture":"ConvNet","Evaluation Architectures":"AlexNet, VGG11, ResNet18, ViT"}. This record does not assert independent reproduction.

### GLaD

Nette Score: 30.4. Result ID: 69bbad5947f34ce924a55808.

[Reporting paper](<https://www.sota2.com/research/paper/68fa7bca1e209131cea8a7fd.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6f311e209131cea44584.md>)

[Implementation](<https://georgecazenavette.github.io/glad/>)

Recorded evaluation configuration: {"Synthesis Architecture":"ConvNet","Evaluation Architectures":"AlexNet, VGG11, ResNet18, ViT"}. This record does not assert independent reproduction.

### IDC

Nette Score: 27.9. Result ID: 69bbad5947f34ce924a55806.

[Reporting paper](<https://www.sota2.com/research/paper/68fa7bca1e209131cea8a7fd.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6cb81e209131cea358b3.md>)

Recorded evaluation configuration: {"Synthesis Architecture":"ConvNet","Evaluation Architectures":"AlexNet, VGG11, ResNet18, ViT"}. This record does not assert independent reproduction.

### TM

Nette Score: 22. Result ID: 69bbad5947f34ce924a55805.

[Reporting paper](<https://www.sota2.com/research/paper/68fa7bca1e209131cea8a7fd.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6c0d1e209131cea31ba0.md>)

Recorded evaluation configuration: {"Synthesis Architecture":"ConvNet","Evaluation Architectures":"AlexNet, VGG11, ResNet18, ViT"}. This record does not assert independent reproduction.

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