# Video Object Detection on Waymo Open dataset

Source: [Video Object Detection on Waymo Open dataset](<https://www.sota2.com/research/sota/video-object-detection-on-waymo-open-dataset>)

Collection index: [llms.txt](<https://www.sota2.com/research/llms.txt>)

Data updated: 2026-02-26T05:23:06.930Z

Evaluation of Video Object Detection performance on the Waymo Open Dataset, reporting Average Precision metrics across Level 1 and Level 2 difficulty settings.

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 | Video Object Detection |
| Dataset (including any stated split) | Waymo Open dataset |
| Metric | AP (L1) |
| 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

- [AP (L1)](<https://www.sota2.com/research/sota/video-object-detection-on-waymo-open-dataset.md?metric=AP%20(L1)>): Higher is better; unit: PERCENT.

- [AP (L2)](<https://www.sota2.com/research/sota/video-object-detection-on-waymo-open-dataset.md?metric=AP%20(L2)>): Higher is better; unit: PERCENT.

## Recorded results

| Method | AP (L1) | Result date | Report paper |
| --- | --- | --- | --- |
| Location Anticipation (L\_traj\_sa) | 64.53 | Not recorded | 68fa70481e209131cea4a2cc |
| Faster RCNN | 55.66 | Not recorded | 68fa70481e209131cea4a2cc |

### Location Anticipation (L\_traj\_sa)

AP (L1): 64.53. Result ID: 699111573a6c3148490570ee.

[Reporting paper](<https://www.sota2.com/research/paper/68fa70481e209131cea4a2cc.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa70481e209131cea4a2cc.md>)

[Implementation](<https://github.com/L-KID/Video-object-detection-by-location-anticipation>)

Recorded evaluation configuration: {"detector\_backbone":"Faster RCNN","annotation\_frequency":"1 fps"}. This record does not assert independent reproduction.

### Faster RCNN

AP (L1): 55.66. Result ID: 699111573a6c3148490570ed.

[Reporting paper](<https://www.sota2.com/research/paper/68fa70481e209131cea4a2cc.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa62451e209131ce9f8655.md>)

[Implementation](<https://github.com/shaoqingren/faster_rcnn>)

Recorded evaluation configuration: {"detector\_type":"static"}. This record does not assert independent reproduction.

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