# Object Detection on DIOR Reference (test) Source: [Object Detection on DIOR Reference (test)]() Collection index: [llms.txt]() Data updated: 2026-04-15T10:02:50.064Z Evaluation of Object Detection performance on the test split of the DIOR Reference dataset, reporting metrics including mAP50, mAP90, Precision, and Recall. 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 | Object Detection | | Dataset (including any stated split) | DIOR Reference (test) | | Metric | mAP@0.50 | | 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 - [mAP@0.50](): Higher is better; unit: PERCENT. - [mAP@0.90](): Higher is better; unit: PERCENT. - [Precision](): Higher is better; unit: PERCENT. - [Recall](): Higher is better; unit: PERCENT. ## Recorded results | Method | mAP@0.50 | Result date | Report paper | | --- | --- | --- | --- | | YOLOv11n | 75.9 | Not recorded | 69df1bc17d0172140ec7bb48 | ### YOLOv11n mAP@0.50: 75.9. Result ID: 69df60e347f34ce924c89270. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Model":"YOLOv11n","Set":"Reference","Resolution":"256 x 256"}. This record does not assert independent reproduction. Page 1 of 1. This is an index page, not the full collection.