# Image Classification on ImageNet-32 downsampled Source: [Image Classification on ImageNet-32 downsampled]() Collection index: [llms.txt]() Data updated: 2026-02-26T06:06:38.478Z Evaluation of Image Classification performance on the ImageNet dataset rendered at 32x32 resolution, 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-32 downsampled | | Metric | Top-1 Acc | | Unit | PERCENT | | Direction | Higher is better | | Results loaded | 1 of 1 | | 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. - [Top-5 Acc](): Higher is better; unit: PERCENT. ## Recorded results | Method | Top-1 Acc | Result date | Report paper | | --- | --- | --- | --- | | WRN-28-1 | 32.03 | Not recorded | 68fa6c131e209131cea31f69 | ### WRN-28-1 Top-1 Acc: 32.03. Result ID: 698ec800ffc3901de0a116f1. [Reporting paper]() [Method origin paper]() [Implementation]() Recorded evaluation configuration: {"SIZE":"0.44M"}. This record does not assert independent reproduction. Page 1 of 1. This is an index page, not the full collection.