# Image Classification on ImageNet 1% labels (val) Source: [Image Classification on ImageNet 1% labels (val)]() Collection index: [llms.txt]() Data updated: 2026-02-26T06:06:39.499Z Evaluation of Image Classification performance on the validation split of the 1% labeled subset of ImageNet, measured using 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 1% labels (val) | | Metric | Top-1 Acc | | Unit | PERCENT | | Direction | Higher is better | | Results loaded | 6 of 6 | | 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](): Higher is better; unit: PERCENT. ## Recorded results | Method | Top-1 Acc | Result date | Report paper | | --- | --- | --- | --- | | Semi-ViT | 80 | Not recorded | 68fa6d311e209131cea38408 | | Semi-ViT | 77.3 | Not recorded | 68fa6d311e209131cea38408 | | Fine-tuning | 71.5 | Not recorded | 68fa6d311e209131cea38408 | | Semi-ViT | 71 | Not recorded | 68fa6d311e209131cea38408 | | Fine-tuning | 67.1 | Not recorded | 68fa6d311e209131cea38408 | | Fine-tuning | 57.4 | Not recorded | 68fa6d311e209131cea38408 | ### Semi-ViT Top-1 Acc: 80. Result ID: 698f81c93a6c314849f96def. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Model":"ViT-Huge","Parameters":"632M","Pre-training":"MAE \[24\]"}. This record does not assert independent reproduction. ### Semi-ViT Top-1 Acc: 77.3. Result ID: 698f81c93a6c314849f96ded. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Model":"ViT-Large","Parameters":"307M","Pre-training":"MAE \[24\]"}. This record does not assert independent reproduction. ### Fine-tuning Top-1 Acc: 71.5. Result ID: 698f81c93a6c314849f96dee. [Reporting paper]() Recorded evaluation configuration: {"Model":"ViT-Huge","Parameters":"632M","Pre-training":"MAE \[24\]"}. This record does not assert independent reproduction. ### Semi-ViT Top-1 Acc: 71. Result ID: 698f81c93a6c314849f96deb. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Model":"ViT-Base","Parameters":"86M","Pre-training":"MAE \[24\]"}. This record does not assert independent reproduction. ### Fine-tuning Top-1 Acc: 67.1. Result ID: 698f81c93a6c314849f96dec. [Reporting paper]() Recorded evaluation configuration: {"Model":"ViT-Large","Parameters":"307M","Pre-training":"MAE \[24\]"}. This record does not assert independent reproduction. ### Fine-tuning Top-1 Acc: 57.4. Result ID: 698f81c93a6c314849f96dea. [Reporting paper]() Recorded evaluation configuration: {"Model":"ViT-Base","Parameters":"86M","Pre-training":"MAE \[24\]"}. This record does not assert independent reproduction. Page 1 of 1. This is an index page, not the full collection.