Waymo

Waymo Open Dataset

A large-scale, high-quality multimodal sensor dataset (lidar, camera) for autonomous driving research, released under a non-commercial research license. Includes labelled 3D and 2D object data, segmentation, and the Waymo Open Motion Dataset for interactive motion forecasting. Distributed as TFRecord files with a Python devkit on GitHub. Powers an annual research challenge series at CVPR.

GitHub

Documentation

📖
Documentation
https://waymo.com/open/data/

Other Resources

🔗
Repository
https://github.com/waymo-research/waymo-open-dataset
🔗
Challenges
https://waymo.com/open/challenges/

API entry from apis.yml

apis.yml Raw ↑ 
aid: waymo:open-dataset
name: Waymo Open Dataset
description: A large-scale, high-quality multimodal sensor dataset (lidar, camera) for autonomous driving
  research, released under a non-commercial research license. Includes labelled 3D and 2D object data,
  segmentation, and the Waymo Open Motion Dataset for interactive motion forecasting. Distributed as TFRecord
  files with a Python devkit on GitHub. Powers an annual research challenge series at CVPR.
humanURL: https://waymo.com/open
baseURL: https://github.com/waymo-research/waymo-open-dataset
tags:
- Open Dataset
- Lidar
- Camera
- Motion Forecasting
- Research
properties:
- type: Documentation
  url: https://waymo.com/open/data/
- type: Repository
  url: https://github.com/waymo-research/waymo-open-dataset
- type: Challenges
  url: https://waymo.com/open/challenges/