# Image Classification on ImageNet 1k (val) (Rotation Robustness and Efficiency)

Source: [Image Classification on ImageNet 1k (val) (Rotation Robustness and Efficiency)](<https://www.sota2.com/research/sota/image-classification-on-imagenet-1k-val-rotation-robustness-and-efficiency>)

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

Data updated: 2026-02-26T06:07:12.702Z

Evaluation of Image Classification performance on the ImageNet 1k validation set, focusing on standard accuracy alongside metrics related to rotational robustness, communication overhead, and computational cost analysis.

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 1k (val) |
| Metric | Top-1 Accuracy |
| Unit | PERCENT |
| Direction | Higher is better |
| Results loaded | 0 of 0 |
| 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-1k-val-rotation-robustness-and-efficiency.md?metric=Top-1%20Accuracy>): Higher is better; unit: PERCENT.

- [Count In-Rotation](<https://www.sota2.com/research/sota/image-classification-on-imagenet-1k-val-rotation-robustness-and-efficiency.md?metric=Count%20In-Rotation>): Higher is better; unit: SCALAR.

- [Count Ex-Rotation](<https://www.sota2.com/research/sota/image-classification-on-imagenet-1k-val-rotation-robustness-and-efficiency.md?metric=Count%20Ex-Rotation>): Higher is better; unit: SCALAR.

- [Multiplication Count (K)](<https://www.sota2.com/research/sota/image-classification-on-imagenet-1k-val-rotation-robustness-and-efficiency.md?metric=Multiplication%20Count%20(K)>): Higher is better; unit: SCALAR.

- [Communication Size (MB)](<https://www.sota2.com/research/sota/image-classification-on-imagenet-1k-val-rotation-robustness-and-efficiency.md?metric=Communication%20Size%20(MB)>): Lower is better; unit: SIZE.

- [Runtime (LAN) (s)](<https://www.sota2.com/research/sota/image-classification-on-imagenet-1k-val-rotation-robustness-and-efficiency.md?metric=Runtime%20(LAN)%20(s)>): Lower is better; unit: TIME.

- [Runtime (WAN) (s)](<https://www.sota2.com/research/sota/image-classification-on-imagenet-1k-val-rotation-robustness-and-efficiency.md?metric=Runtime%20(WAN)%20(s)>): Lower is better; unit: TIME.

- [Cost per Parameter](<https://www.sota2.com/research/sota/image-classification-on-imagenet-1k-val-rotation-robustness-and-efficiency.md?metric=Cost%20per%20Parameter>): Lower is better; unit: SCALAR.

- [Cost per Accuracy](<https://www.sota2.com/research/sota/image-classification-on-imagenet-1k-val-rotation-robustness-and-efficiency.md?metric=Cost%20per%20Accuracy>): Lower is better; unit: SCALAR.

## Recorded results

| Method | Top-1 Accuracy | Result date | Report paper |
| --- | --- | --- | --- |

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