dataset-api
A toolkit and dataset for autonomous driving research, including trajectory prediction, 3D LiDAR detection, scene parsing, and video inpainting.
What is dataset-api?
ApolloScape is an open dataset and toolkit for autonomous driving research, part of the Apollo project. It provides annotated data and tools for tasks like trajectory prediction, 3D LiDAR object detection, scene parsing, and video inpainting, enabling advancements in self-driving technology. The dataset supports academic challenges and real-world algorithm development.
Researchers, academics, and developers working on autonomous driving perception, navigation, and simulation. It is particularly useful for those participating in challenges like CVPR and ECCV workshops.
It offers a comprehensive, research-focused dataset with multiple perception tasks, fostering innovation in autonomous driving. Unlike proprietary datasets, it is open and supports reproducible research across trajectory prediction, 3D tracking, and scene understanding.
Overview
The ApolloScape Open Dataset for Autonomous Driving and its Application.
Use Cases
Best For
- Training models for trajectory prediction of vehicles and pedestrians
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