# Image Classification on ImageNet 1 image per class Extreme low-shot 1K Source: [Image Classification on ImageNet 1 image per class Extreme low-shot 1K]() Collection index: [llms.txt]() Data updated: 2026-02-26T06:06:50.046Z Evaluation of Image Classification performance under extreme low-shot conditions (1 image per class) on the ImageNet 1K dataset, 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 | Image Classification | | Dataset (including any stated split) | ImageNet 1 image per class Extreme low-shot 1K | | Metric | Top-1 Acc | | Unit | PERCENT | | Direction | Higher is better | | Results loaded | 0 of 0 | | 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 | | --- | --- | --- | --- | Page 1 of 1. This is an index page, not the full collection.