# Image Classification on ImageNet 1.28M, 224x224, 1000 (test) Source: [Image Classification on ImageNet 1.28M, 224x224, 1000 (test)]() Collection index: [llms.txt]() Data updated: 2026-06-04T09:41:20.941Z Evaluation of Image Classification performance on the test split of ImageNet 1.28M (224x224 resolution, 1000 classes), reporting Top-1 and Top-5 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 1.28M, 224x224, 1000 (test) | | Metric | Top-1 Accuracy | | Unit | PERCENT | | Direction | Higher is better | | Results loaded | 3 of 3 | | 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: PERCENT. - [Top-5 Accuracy](): Higher is better; unit: PERCENT. ## Recorded results | Method | Top-1 Accuracy | Result date | Report paper | | --- | --- | --- | --- | | VGG10 + EP + random scheme | 34.73 | Not recorded | 6a2106a6c10484bac23f0303 | | VGG10 + EP + centered scheme | 33.81 | Not recorded | 6a2106a6c10484bac23f0303 | | VGG10 + BP (baseline) | 32.35 | Not recorded | 6a2106a6c10484bac23f0303 | ### VGG10 + EP + random scheme Top-1 Accuracy: 34.73. Result ID: 6a214833fbc373592c1d48d5. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Backbone":"VGG10","Algorithm":"EP","Scheme":"random"}. This record does not assert independent reproduction. ### VGG10 + EP + centered scheme Top-1 Accuracy: 33.81. Result ID: 6a214833fbc373592c1d48d6. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Backbone":"VGG10","Algorithm":"EP","Scheme":"centered"}. This record does not assert independent reproduction. ### VGG10 + BP (baseline) Top-1 Accuracy: 32.35. Result ID: 6a214833fbc373592c1d48d7. [Reporting paper]() Recorded evaluation configuration: {"Backbone":"VGG10","Algorithm":"BP","Scheme":"baseline"}. This record does not assert independent reproduction. Page 1 of 1. This is an index page, not the full collection.