# 3D Human Keypoint Estimation on Waymo Source: [3D Human Keypoint Estimation on Waymo]() Collection index: [llms.txt]() Data updated: 2026-02-26T05:50:09.319Z Evaluation of 3D Human Keypoint Estimation performance on the 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) | Waymo | | Metric | MPJPE | | Unit | SCALAR | | Direction | Lower 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 - [MPJPE](): Lower is better; unit: SCALAR. ## Recorded results | Method | MPJPE | Result date | Report paper | | --- | --- | --- | --- | | GC-KPL | 10.1 | Not recorded | 68fa71721e209131cea514c0 | | GC-KPL | 11.27 | Not recorded | 68fa71721e209131cea514c0 | ### GC-KPL MPJPE: 10.1. Result ID: 6991cf143a6c3148490ab9c0. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Extra Training Data":true,"Description":"Pre-trained on 200, 000 Waymo objects. Fine-tuned on ground truth"}. This record does not assert independent reproduction. ### GC-KPL MPJPE: 11.27. Result ID: 6991cf143a6c3148490ab9bf. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Extra Training Data":true,"Description":"Pre-trained on synthetic data. Fine-tuned on ground truth"}. This record does not assert independent reproduction. Page 1 of 1. This is an index page, not the full collection.