# 3D Object Detection on ONCE 5k labeled samples (val) Source: [3D Object Detection on ONCE 5k labeled samples (val)]() Collection index: [llms.txt]() Data updated: 2026-02-26T06:09:33.086Z Evaluation of 3D Object Detection performance using only the 5,000 labeled samples from the validation split of the ONCE dataset, reporting Mean Average Precision (mAP). 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 | 3D Object Detection | | Dataset (including any stated split) | ONCE 5k labeled samples (val) | | 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 | | --- | --- | --- | --- | | Pretraining | 64.41 | Not recorded | 68fa72be1e209131cea58528 | | Pretraining | 63.22 | Not recorded | 68fa72be1e209131cea58528 | ### Pretraining mAP: 64.41. Result ID: 699276a33a6c3148490f20af. [Reporting paper]() Recorded evaluation configuration: {"Base Detector":"CenterPoint"}. This record does not assert independent reproduction. ### Pretraining mAP: 63.22. Result ID: 699276a33a6c3148490f20ae. [Reporting paper]() Recorded evaluation configuration: {"Base Detector":"SECOND"}. This record does not assert independent reproduction. Page 1 of 1. This is an index page, not the full collection.