# Image Classification on ImageNet (test val) (Top1 and Search Cost)

Source: [Image Classification on ImageNet (test val) (Top1 and Search Cost)](<https://www.sota2.com/research/sota/image-classification-on-imagenet-test-val-top1-and-search-cost>)

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

Data updated: 2026-02-26T06:06:50.082Z

Evaluation of Image Classification performance on the combined test and validation splits of the ImageNet dataset, specifically reporting Top-1 accuracy and the associated search cost in GPU hours.

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 (test val) |
| Metric | Top-1 Acc |
| 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 Acc](<https://www.sota2.com/research/sota/image-classification-on-imagenet-test-val-top1-and-search-cost.md?metric=Top-1%20Acc>): Higher is better; unit: PERCENT.

- [Search Cost (GPU hours)](<https://www.sota2.com/research/sota/image-classification-on-imagenet-test-val-top1-and-search-cost.md?metric=Search%20Cost%20(GPU%20hours)>): Lower is better; unit: TIME.

## Recorded results

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

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