nuscenes-devkit
A Python toolkit for working with the nuScenes and nuImages autonomous driving datasets, providing data loading, visualization, and evaluation utilities.
What is nuscenes-devkit?
nuScenes devkit is a Python software development kit for the nuScenes and nuImages autonomous driving datasets. It provides data loaders, visualization tools, and evaluation scripts to help researchers and engineers work with these large-scale, multimodal datasets for developing and benchmarking perception, prediction, and tracking algorithms for self-driving vehicles.
Autonomous driving researchers, computer vision engineers, and machine learning practitioners who need to train, evaluate, or experiment with models on the nuScenes or nuImages datasets.
It offers the official, standardized interface and evaluation code for the nuScenes ecosystem, ensuring reproducibility and fair comparison in benchmarks. The toolkit abstracts away the complexity of handling multimodal sensor data and annotations, accelerating research and development.
Overview
The devkit of the nuScenes dataset.
Use Cases
Best For
- Loading and parsing the nuScenes dataset's lidar, camera, radar, and map data
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