# 3D Human Keypoint Estimation on Internal dataset Waymo Source: [3D Human Keypoint Estimation on Internal dataset Waymo]() Collection index: [llms.txt]() Data updated: 2026-02-26T05:50:09.335Z Evaluation of 3D Human Keypoint Estimation performance using the internal Waymo dataset, reporting MPJPE. 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 Human Keypoint Estimation | | Dataset (including any stated split) | Internal dataset Waymo | | Metric | MPJPE | | Unit | SCALAR | | Direction | Lower 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 - [MPJPE](): Lower is better; unit: SCALAR. ## Recorded results | Method | MPJPE | Result date | Report paper | | --- | --- | --- | --- | | Zheng et al. | 10.8 | Not recorded | 68fa71721e209131cea514c0 | ### Zheng et al. MPJPE: 10.8. Result ID: 6991cf143a6c3148490ab9c1. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Extra Training Data":true,"Description":"Trained on 155, 182 objects from internal data. Generated pseudo labels from 2D image labels."}. This record does not assert independent reproduction. Page 1 of 1. This is an index page, not the full collection.