KushalBKusram/WaymoOpenDatasetToolKit
A very simple toolkit to extract data from Waymo Open Dataset
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.
Stars
9
Forks
3
Language
Python
License
AGPL-3.0
Category
Last pushed
Mar 14, 2026
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/computer-vision/KushalBKusram/WaymoOpenDatasetToolKit"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
Sharpiless/Yolov5-deepsort-inference
Yolov5 deepsort inference,使用YOLOv5+Deepsort实现车辆行人追踪和计数,代码封装成一个Detector类,更容易嵌入到自己的项目中
laugh12321/TensorRT-YOLO
🚀 Easier & Faster YOLO Deployment Toolkit for NVIDIA 🛠️
facebookresearch/Ego4d
Ego4d dataset repository. Download the dataset, visualize, extract features & example usage of...
ultralytics/yolo-flutter-app
Flutter plugin for Ultralytics YOLO
ultralytics/yolo-ios-app
Ultralytics YOLO iOS App source code for running YOLO in your own iOS apps 🌟