# LightwheelOcc
**A 3D Occupancy Synthetic Dataset in Autonomous Driving**
[![LightwheelOcc](https://img.shields.io/badge/LightwheelOcc-v1.0-yellow)](https://lightwheel.ai/)
[![LightwheelAI](https://img.shields.io/badge/Lightwheel_AI-Website-blueviolet)](https://lightwheel.ai/)
News
:fire: China3DV Occupancy and Flow Challenge is ongoing! Check challenge doc!
2024/03/20
LightwheelOcc dataset v1.0
released.
2024/03/01
We are hosting CVPR 2024 Autonomous Grand Challenge and China3DV AD Challenge!
Table of Contents
Introduction
- LightwheelOcc, developed by Lightwheel AI, is a publicly available autonomous driving synthetic dataset. The dataset, which includes 40,000 frames and corresponding ground truth labels for a variety of tasks, is a generalized dataset that navigates a variety of regional terrains, weather patterns, vehicle types, vegetation, and roadway demarcations.
- Lightwheel AI levers generative AI and simulation to deliver 3D, physically realistic and generalizable synthetic data solutions for autonomous driving and embodied AI. By publishing LightwheelOcc, we aim to advance research in the realms of computer vision, autonomous driving and synthetic data.
Highlights
Data overview
Basic Information
- The LightwheelOcc dataset contains 40,000 frames, totaling 240,000 images, of which 28,000 frames are used for training scenarios, 6000 frames are used for validation scenarios, and 6000 frames are used for testing scenarios.
- LightwheelOcc includes 6 camera sensor data, as well as labels for different tasks, including 3D Occupancy, Flow and Depth Map.
Data Sample
3D Occupancy |
Depth Map |
![3D Occupancy](https://github.com/OpenDriveLab/LightwheelOcc/raw/main/resources/sample_occ.jpeg) |
![Depth Map](https://github.com/OpenDriveLab/LightwheelOcc/raw/main/resources/sample_depth.jpeg) |
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Getting Started
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License and Citation
The LightwheelOcc dataset is under CC BY-NC-ND 4.0 license.
All assets and code within this repository are under the Apache 2.0 license unless specified otherwise.
If this work is helpful for your research, please consider citing the following BibTeX entry.
@misc{lightwheel2024,
title={LightwheelOcc: A 3D Occupancy Synthetic Dataset in Autonomous Driving} ,
author={LightwheelAI and LightwheelOcc contributors},
howpublished={\url{https://github.com/OpenDriveLab/LightwheelOcc}},
year={2024}
}
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Related Resources
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