# 3D Object Detection on Waymo Open Dataset Vehicle LEVEL\_1 v1.2 (test) Source: [3D Object Detection on Waymo Open Dataset Vehicle LEVEL\_1 v1.2 (test)]() Collection index: [llms.txt]() Data updated: 2026-02-26T05:21:16.263Z Evaluation of 3D Object Detection performance on the test split of Waymo Open Dataset, specifically using the Vehicle class subset under Level 1 difficulty configuration (v1.2), reporting distance-binned 3D mAP metrics. 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) | Waymo Open Dataset Vehicle LEVEL\_1 v1.2 (test) | | Metric | 3D mAP Overall | | Unit | PERCENT | | Direction | Higher is better | | Results loaded | 7 of 7 | | 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 - [3D mAP Overall](): Higher is better; unit: PERCENT. - [3D mAP 0-30m](): Higher is better; unit: PERCENT. - [3D mAP 30-50m](): Higher is better; unit: PERCENT. - [3D mAP 50m+](): Higher is better; unit: PERCENT. - [3D mAPH Overall](): Higher is better; unit: PERCENT. - [3D mAPH 0-30m](): Higher is better; unit: PERCENT. - [3D mAPH 30-50m](): Higher is better; unit: PERCENT. - [3D mAPH 50m+](): Higher is better; unit: PERCENT. ## Recorded results | Method | 3D mAP Overall | Result date | Report paper | | --- | --- | --- | --- | | M3DETR | 77.66 | Not recorded | 68fa6b191e209131cea2c28f | | PV-RCNN\* | 76.89 | Not recorded | 68fa6b191e209131cea2c28f | | RangeDet | 75.83 | Not recorded | 68fa6b191e209131cea2c28f | | Det3D | 73.29 | Not recorded | 68fa6b191e209131cea2c28f | | RCD | 69.59 | Not recorded | 68fa6b191e209131cea2c28f | | PointPillars | 68.62 | Not recorded | 68fa6b191e209131cea2c28f | | StarNet | 61.5 | Not recorded | 68fa6b191e209131cea2c28f | ### M3DETR 3D mAP Overall: 77.66. Result ID: 698e5b20ffc3901de09ce6df. [Reporting paper]() [Method origin paper]() [Implementation]() Recorded evaluation configuration: {"input":"single point cloud frame"}. This record does not assert independent reproduction. ### PV-RCNN\* 3D mAP Overall: 76.89. Result ID: 698e5b20ffc3901de09ce6de. [Reporting paper]() [Method origin paper]() [Implementation]() Recorded evaluation configuration: {"reproducibility":"reproduced results","input":"single point cloud frame"}. This record does not assert independent reproduction. ### RangeDet 3D mAP Overall: 75.83. Result ID: 698e5b20ffc3901de09ce6dd. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: Not recorded. This record does not assert independent reproduction. ### Det3D 3D mAP Overall: 73.29. Result ID: 698e5b20ffc3901de09ce6dc. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: Not recorded. This record does not assert independent reproduction. ### RCD 3D mAP Overall: 69.59. Result ID: 698e5b20ffc3901de09ce6d9. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: Not recorded. This record does not assert independent reproduction. ### PointPillars 3D mAP Overall: 68.62. Result ID: 698e5b20ffc3901de09ce6db. [Reporting paper]() [Method origin paper]() [Implementation]() Recorded evaluation configuration: Not recorded. This record does not assert independent reproduction. ### StarNet 3D mAP Overall: 61.5. Result ID: 698e5b20ffc3901de09ce6da. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: Not recorded. This record does not assert independent reproduction. Page 1 of 1. This is an index page, not the full collection.