# Low-shot Image Classification on VOC 07 Source: [Low-shot Image Classification on VOC 07]() Collection index: [llms.txt]() Data updated: 2026-02-26T06:09:53.628Z Evaluation of Low-shot (Few-Shot) Image Classification performance on the VOC 2007 dataset, measured using mean Average Precision (mAP) across different support set sizes (k). 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 | Low-shot Image Classification | | Dataset (including any stated split) | VOC 07 | | Metric | mAP (k=1) | | 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 - [mAP (k=1)](): Higher is better; unit: PERCENT. - [mAP (k=2)](): Higher is better; unit: PERCENT. - [mAP (k=4)](): Higher is better; unit: PERCENT. - [mAP (k=8)](): Higher is better; unit: PERCENT. - [mAP (k=16)](): Higher is better; unit: PERCENT. ## Recorded results | Method | mAP (k=1) | Result date | Report paper | | --- | --- | --- | --- | Page 1 of 1. This is an index page, not the full collection.