awesome-robotics-datasets
A curated collection of robotics and computer vision datasets for research and development.
What is awesome-robotics-datasets?
Awesome Robotics Datasets is a curated GitHub repository listing publicly available datasets for robotics and computer vision research. It organizes datasets by application domain (like driving, flying, indoor) and research topic (like SLAM, object tracking, 3D reconstruction) to help researchers and engineers quickly find relevant data for their projects.
Robotics researchers, computer vision engineers, PhD students, and developers working on perception, navigation, or autonomous systems who need benchmark or training data.
It saves significant time by aggregating and categorizing hundreds of datasets from academic labs, companies, and competitions into a single, community-vetted resource with quality indicators.
Overview
A collection of useful datasets for robotics and computer vision
Use Cases
Best For
- Finding benchmark datasets for SLAM algorithm development
- Locating driving scene data (LiDAR, camera) for autonomous vehicle research
Related Projects
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