# Semi-supervised Image Classification on ImageNet 1% labeled Source: [Semi-supervised Image Classification on ImageNet 1% labeled]() Collection index: [llms.txt]() Data updated: 2026-02-26T06:06:57.228Z Evaluation of Semi-supervised Image Classification performance using the 1% labeled subset of ImageNet, 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 | Semi-supervised Image Classification | | Dataset (including any stated split) | ImageNet 1% labeled | | Metric | Top-1 Accuracy | | Unit | SCALAR | | Direction | Higher is better | | Results loaded | 8 of 8 | | 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](): Higher is better; unit: SCALAR. ## Recorded results | Method | Top-1 Accuracy | Result date | Report paper | | --- | --- | --- | --- | | PAWS | 0.699 | Not recorded | 68fa6a721e209131cea282ca | | PAWS | 0.698 | Not recorded | 68fa6a721e209131cea282ca | | PAWS | 0.696 | Not recorded | 68fa6a721e209131cea282ca | | BYOL | 0.691 | Not recorded | 68fa6a721e209131cea282ca | | PAWS | 0.682 | Not recorded | 68fa6a721e209131cea282ca | | SimCLRv2 | 0.663 | Not recorded | 68fa6a721e209131cea282ca | | SimCLR | 0.63 | Not recorded | 68fa6a721e209131cea282ca | | BYOL | 0.622 | Not recorded | 68fa6a721e209131cea282ca | ### PAWS Top-1 Accuracy: 0.699. Result ID: 698e353dffc3901de09bab3a. [Reporting paper]() [Method origin paper]() [Implementation]() Recorded evaluation configuration: {"Architecture":"ResNet-50 (4x)","Epochs":"200"}. This record does not assert independent reproduction. ### PAWS Top-1 Accuracy: 0.698. Result ID: 698e353dffc3901de09bab39. [Reporting paper]() [Method origin paper]() [Implementation]() Recorded evaluation configuration: {"Architecture":"ResNet-50 (4x)","Epochs":"100"}. This record does not assert independent reproduction. ### PAWS Top-1 Accuracy: 0.696. Result ID: 698e353dffc3901de09bab36. [Reporting paper]() [Method origin paper]() [Implementation]() Recorded evaluation configuration: {"Architecture":"ResNet-50 (2x)","Epochs":"200"}. This record does not assert independent reproduction. ### BYOL Top-1 Accuracy: 0.691. Result ID: 698e353dffc3901de09bab38. [Reporting paper]() [Method origin paper]() [Implementation]() Recorded evaluation configuration: {"Architecture":"ResNet-50 (4x)","Epochs":"1000"}. This record does not assert independent reproduction. ### PAWS Top-1 Accuracy: 0.682. Result ID: 698e353dffc3901de09bab35. [Reporting paper]() [Method origin paper]() [Implementation]() Recorded evaluation configuration: {"Architecture":"ResNet-50 (2x)","Epochs":"100"}. This record does not assert independent reproduction. ### SimCLRv2 Top-1 Accuracy: 0.663. Result ID: 698e353dffc3901de09bab34. [Reporting paper]() [Method origin paper]() [Implementation]() Recorded evaluation configuration: {"Architecture":"ResNet-50 (2x)","Epochs":"800"}. This record does not assert independent reproduction. ### SimCLR Top-1 Accuracy: 0.63. Result ID: 698e353dffc3901de09bab37. [Reporting paper]() [Method origin paper]() [Implementation]() Recorded evaluation configuration: {"Architecture":"ResNet-50 (4x)","Epochs":"1000"}. This record does not assert independent reproduction. ### BYOL Top-1 Accuracy: 0.622. Result ID: 698e353dffc3901de09bab33. [Reporting paper]() [Method origin paper]() [Implementation]() Recorded evaluation configuration: {"Architecture":"ResNet-50 (2x)","Epochs":"1000"}. This record does not assert independent reproduction. Page 1 of 1. This is an index page, not the full collection.