lyft-dataset-sdk 0.0.3

SDK for Lyft dataset.

Lyft Dataset SDK

Welcome to the devkit for the Lyft Level 5 AV dataset! This devkit shall help you to visualise and explore our dataset.

Release Notes

This devkit is based on a version of the nuScenes devkit.

Getting Started

Installation

If you have a Python >=3.6 environment set up and Pip installed, you can simply run

pip install -U git+https://github.com/lyft/nuscenes-devkit

Dataset Download

Go to https://level5.lyft.com/dataset/ to download the Lyft Level 5 AV Dataset.

Tutorial and Reference Model

Check out the tutorial and reference model README.

Dataset structure

The dataset contains of json files:

1. scene.json - 25-45 seconds snippet of a car's journey.
2. sample.json - An annotated snapshot of a scene at a particular timestamp.
3. sample_data.json - Data collected from a particular sensor.
4. sample_annotation.json - An annotated instance of an object within our interest.
5. instance.json - Enumeration of all object instance we observed.
6. category.json - Taxonomy of object categories (e.g. vehicle, human).
7. attribute.json - Property of an instance that can change while the category remains the same.
8. visibility.json - (currently not used)
9. sensor.json - A specific sensor type.
10. calibrated_sensor.json - Definition of a particular sensor as calibrated on a particular vehicle.
11. ego_pose.json - Ego vehicle poses at a particular timestamp.
12. log.json - Log information from which the data was extracted.
13. map.json - Map data that is stored as binary semantic masks from a top-down view.

With the schema.

Data Exploration Tutorial

To get started with the Lyft Dataset SDK, run the tutorial using Jupyter Notebook.