# Image Classification on ImageNet 10% (train) Source: [Image Classification on ImageNet 10% (train)]() Collection index: [llms.txt]() Data updated: 2026-02-26T05:29:05.567Z Evaluation of Image Classification performance using the 10% training subset of the ImageNet dataset, measured by 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 10% (train) | | Metric | Accuracy | | Unit | PERCENT | | Direction | Higher is better | | Results loaded | 16 of 16 | | 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 - [Accuracy](): Higher is better; unit: PERCENT. ## Recorded results | Method | Accuracy | Result date | Report paper | | --- | --- | --- | --- | | MAE-CTmin | 81.2 | Not recorded | 68fa708e1e209131cea4bc01 | | MAE-CTaug | 81 | Not recorded | 68fa708e1e209131cea4bc01 | | MAE | 80.8 | Not recorded | 68fa708e1e209131cea4bc01 | | MAE-CTaug | 80.4 | Not recorded | 68fa708e1e209131cea4bc01 | | Layer Grafting | 80.1 | Not recorded | 68fa708e1e209131cea4bc01 | | MAE-CTmin | 79.7 | Not recorded | 68fa708e1e209131cea4bc01 | | MAE | 79.3 | Not recorded | 68fa708e1e209131cea4bc01 | | iBOT | 79 | Not recorded | 68fa708e1e209131cea4bc01 | | Layer Grafting | 77.8 | Not recorded | 68fa708e1e209131cea4bc01 | | iBOT | 77.4 | Not recorded | 68fa708e1e209131cea4bc01 | | MSN | 75.5 | Not recorded | 68fa708e1e209131cea4bc01 | | MoCo v3 | 74.7 | Not recorded | 68fa708e1e209131cea4bc01 | | MAE-CTaug | 74.6 | Not recorded | 68fa708e1e209131cea4bc01 | | MAE | 73.4 | Not recorded | 68fa708e1e209131cea4bc01 | | MAE-CTmin | 73.3 | Not recorded | 68fa708e1e209131cea4bc01 | | MSN | 71.4 | Not recorded | 68fa708e1e209131cea4bc01 | ### MAE-CTmin Accuracy: 81.2. Result ID: 699135093a6c314849067c26. [Reporting paper]() [Method origin paper]() [Implementation]() Recorded evaluation configuration: {"Architecture":"ViT-H/16"}. This record does not assert independent reproduction. ### MAE-CTaug Accuracy: 81. Result ID: 699135093a6c314849067c27. [Reporting paper]() [Method origin paper]() [Implementation]() Recorded evaluation configuration: {"Architecture":"ViT-H/16"}. This record does not assert independent reproduction. ### MAE Accuracy: 80.8. Result ID: 699135093a6c314849067c25. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Architecture":"ViT-H/16"}. This record does not assert independent reproduction. ### MAE-CTaug Accuracy: 80.4. Result ID: 699135093a6c314849067c24. [Reporting paper]() [Method origin paper]() [Implementation]() Recorded evaluation configuration: {"Architecture":"ViT-L/16"}. This record does not assert independent reproduction. ### Layer Grafting Accuracy: 80.1. Result ID: 699135093a6c314849067c22. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Architecture":"ViT-L/16"}. This record does not assert independent reproduction. ### MAE-CTmin Accuracy: 79.7. Result ID: 699135093a6c314849067c23. [Reporting paper]() [Method origin paper]() [Implementation]() Recorded evaluation configuration: {"Architecture":"ViT-L/16"}. This record does not assert independent reproduction. ### MAE Accuracy: 79.3. Result ID: 699135093a6c314849067c1f. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Architecture":"ViT-L/16"}. This record does not assert independent reproduction. ### iBOT Accuracy: 79. Result ID: 699135093a6c314849067c21. [Reporting paper]() Recorded evaluation configuration: {"Architecture":"ViT-L/16"}. This record does not assert independent reproduction. ### Layer Grafting Accuracy: 77.8. Result ID: 699135093a6c314849067c1c. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Architecture":"ViT-B/16"}. This record does not assert independent reproduction. ### iBOT Accuracy: 77.4. Result ID: 699135093a6c314849067c1b. [Reporting paper]() Recorded evaluation configuration: {"Architecture":"ViT-B/16"}. This record does not assert independent reproduction. ### MSN Accuracy: 75.5. Result ID: 699135093a6c314849067c1a. [Reporting paper]() [Method origin paper]() [Implementation]() Recorded evaluation configuration: {"Architecture":"ViT-B/16"}. This record does not assert independent reproduction. ### MoCo v3 Accuracy: 74.7. Result ID: 699135093a6c314849067c19. [Reporting paper]() [Method origin paper]() [Implementation]() Recorded evaluation configuration: {"Architecture":"ViT-B/16"}. This record does not assert independent reproduction. ### MAE-CTaug Accuracy: 74.6. Result ID: 699135093a6c314849067c1e. [Reporting paper]() [Method origin paper]() [Implementation]() Recorded evaluation configuration: {"Architecture":"ViT-B/16"}. This record does not assert independent reproduction. ### MAE Accuracy: 73.4. Result ID: 699135093a6c314849067c18. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Architecture":"ViT-B/16"}. This record does not assert independent reproduction. ### MAE-CTmin Accuracy: 73.3. Result ID: 699135093a6c314849067c1d. [Reporting paper]() [Method origin paper]() [Implementation]() Recorded evaluation configuration: {"Architecture":"ViT-B/16"}. This record does not assert independent reproduction. ### MSN Accuracy: 71.4. Result ID: 699135093a6c314849067c20. [Reporting paper]() [Method origin paper]() [Implementation]() Recorded evaluation configuration: {"Architecture":"ViT-L/16"}. This record does not assert independent reproduction. Page 1 of 1. This is an index page, not the full collection.