KushalBKusram/WaymoOpenDatasetToolKit

A very simple toolkit to extract data from Waymo Open Dataset

48
/ 100
Emerging

This toolkit helps autonomous vehicle researchers and engineers explore and extract sensor data from the Waymo Open Dataset v2. You input specific dataset segments and timestamps, and it provides camera images, LiDAR point clouds, and associated 2D and 3D bounding box labels. It's designed for those who need to work with Waymo's extensive self-driving car data without complex setup.

Use this if you need to quickly access, visualize, or extract specific camera frames, LiDAR point clouds, and bounding box annotations from the Waymo Open Dataset v2 without downloading the entire 2.29 TB dataset locally.

Not ideal if you're looking for a low-level SDK to build custom machine learning models directly on the raw Waymo data structures, or if you need to contribute directly to the official Waymo Open Dataset package.

autonomous-driving sensor-data-extraction perception-dataset robotics computer-vision
No Package No Dependents
Maintenance 13 / 25
Adoption 5 / 25
Maturity 16 / 25
Community 14 / 25

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Stars

9

Forks

3

Language

Python

License

AGPL-3.0

Last pushed

Mar 14, 2026

Commits (30d)

0

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