# Object Detection on ImageNet DET (val2) Source: [Object Detection on ImageNet DET (val2)]() Collection index: [llms.txt]() Data updated: 2026-02-26T06:09:20.839Z Evaluation of Object Detection performance on the ImageNet DET validation split (val2). 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) | ImageNet DET (val2) | | Metric | mAP | | Unit | PERCENT | | Direction | Higher is better | | Results loaded | 2 of 2 | | 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](): Higher is better; unit: PERCENT. ## Recorded results | Method | mAP | Result date | Report paper | | --- | --- | --- | --- | | Faster R-CNN (ResNet-101, ensemble) | 63.6 | Not recorded | 68fa62321e209131ce9f8328 | | Faster R-CNN (ResNet-101) | 60.5 | Not recorded | 68fa62321e209131ce9f8328 | ### Faster R-CNN (ResNet-101, ensemble) mAP: 63.6. Result ID: 698bd4737a967eddb771a743. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Backbone":"ResNet-101","Protocol":"ensemble","Competition":"ILSVRC'15"}. This record does not assert independent reproduction. ### Faster R-CNN (ResNet-101) mAP: 60.5. Result ID: 698bd4737a967eddb771a742. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Backbone":"ResNet-101","Protocol":"single model","Competition":"ILSVRC'15"}. This record does not assert independent reproduction. Page 1 of 1. This is an index page, not the full collection.