# Image Classification on ImageNet 20 worst classes for ResNet-18 (val)

Source: [Image Classification on ImageNet 20 worst classes for ResNet-18 (val)](<https://www.sota2.com/research/sota/image-classification-on-imagenet-20-worst-classes-for-resnet-18-val>)

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

Data updated: 2026-06-16T09:10:23.162Z

Evaluation of Image Classification performance on the specific subset of ImageNet validation data consisting of the 20 worst-performing classes for the ResNet-18 model, typically measured by 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) | ImageNet 20 worst classes for ResNet-18 (val) |
| Metric | Top-1 Accuracy |
| Unit | PERCENT |
| Direction | Higher is better |
| Results loaded | 2 of 2 |
| 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-20-worst-classes-for-resnet-18-val.md?metric=Top-1%20Accuracy>): Higher is better; unit: PERCENT.

## Recorded results

| Method | Top-1 Accuracy | Result date | Report paper |
| --- | --- | --- | --- |
| Task-based neurons | 74.7 | Not recorded | 68fa73131e209131cea5a4e8 |
| Conventional neurons | 67.6 | Not recorded | 68fa73131e209131cea5a4e8 |

### Task-based neurons

Top-1 Accuracy: 74.7. Result ID: 6a3112edfbc373592c2d9cef.

[Reporting paper](<https://www.sota2.com/research/paper/68fa73131e209131cea5a4e8.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa73131e209131cea5a4e8.md>)

Recorded evaluation configuration: {"#Parameters":"0.37M"}. This record does not assert independent reproduction.

### Conventional neurons

Top-1 Accuracy: 67.6. Result ID: 6a3112edfbc373592c2d9cee.

[Reporting paper](<https://www.sota2.com/research/paper/68fa73131e209131cea5a4e8.md>)

Recorded evaluation configuration: {"#Parameters":"0.38M"}. This record does not assert independent reproduction.

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