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Lyft-perception
3D Box
Autonomous Driving
|...
License: CC BY-NC-SA 4.0

Overview

A robust collection of raw sensor data.

Our autonomous vehicles are equipped with an in-house sensor suite that collects raw sensor
data on other cars, pedestrians, traffic lights, and more. This dataset features the raw lidar
and camera inputs collected by our autonomous fleet within a bounded geographic area. It includes:

  • 3D annotations.(1.3M)
  • lidar point clouds.(30K)
  • scenes at 60-90 minutes long.(350+)

Data Collection

Level 5’s in-house sensor suite

Lyft

Lidar

Our vehicles are equipped with 40 and 64-beam lidars on the roof and
bumper. They have an Azimuth resolution of 0.2 degrees and jointly produce ~216,000 points
at 10 Hz. Firing directions of all lidars are synchronized.

Lyft

Camera

Our vehicles are also equipped with six 360° cameras built
in-house. One long-focal camera points upward. Cameras are synchronized with the lidar so the
beam is at the center of each camera’s field of view when images are captured.

Data Format

We use the familiar nuScenes format for our dataset
to ensure compatibility with previous work. We’ve also customized the nuScenes devkit
and included instructions on how to use it.

Citation

Please use the following citation when referencing the dataset:

@misc{
lyft2019,
title = {Lyft Level 5 Perception Dataset 2020},
author = {Kesten, R. and Usman, M. and Houston, J. and Pandya, T. and Nadhamuni, K. and Ferreira,
A. and Yuan, M. and Low, B. and Jain, A. and Ondruska, P. and Omari, S. and Shah, S. and Kulkarni,
A. and Kazakova, A. and Tao, C. and Platinsky, L. and Jiang, W. and Shet, V.},
year = {2019},
howpublished = {\url{https://level5.lyft.com/dataset/}}
}

License

CC BY-NC-SA 4.0

Data Summary
Type
Point Cloud, Image,
Amount
--
Size
117.94GB
Provided by
Lyft Level 5
Lyft’s mission is to improve people’s lives with the world’s best transportation. From rideshare to bikes and scooters, we’re constantly innovating new ways to get around. With self-driving, we can increase safety and access for people wherever they are.
Annotated by
Scale AI, Inc
Trusted by world class companies, Scale delivers high quality training data for AI applications such as self-driving cars, mapping, AR/VR, robotics, and more
| Amount -- | Size 117.94GB
Lyft-perception
3D Box
Autonomous Driving
License: CC BY-NC-SA 4.0

Overview

A robust collection of raw sensor data.

Our autonomous vehicles are equipped with an in-house sensor suite that collects raw sensor
data on other cars, pedestrians, traffic lights, and more. This dataset features the raw lidar
and camera inputs collected by our autonomous fleet within a bounded geographic area. It includes:

  • 3D annotations.(1.3M)
  • lidar point clouds.(30K)
  • scenes at 60-90 minutes long.(350+)

Data Collection

Level 5’s in-house sensor suite

Lyft

Lidar

Our vehicles are equipped with 40 and 64-beam lidars on the roof and
bumper. They have an Azimuth resolution of 0.2 degrees and jointly produce ~216,000 points
at 10 Hz. Firing directions of all lidars are synchronized.

Lyft

Camera

Our vehicles are also equipped with six 360° cameras built
in-house. One long-focal camera points upward. Cameras are synchronized with the lidar so the
beam is at the center of each camera’s field of view when images are captured.

Data Format

We use the familiar nuScenes format for our dataset
to ensure compatibility with previous work. We’ve also customized the nuScenes devkit
and included instructions on how to use it.

Citation

Please use the following citation when referencing the dataset:

@misc{
lyft2019,
title = {Lyft Level 5 Perception Dataset 2020},
author = {Kesten, R. and Usman, M. and Houston, J. and Pandya, T. and Nadhamuni, K. and Ferreira,
A. and Yuan, M. and Low, B. and Jain, A. and Ondruska, P. and Omari, S. and Shah, S. and Kulkarni,
A. and Kazakova, A. and Tao, C. and Platinsky, L. and Jiang, W. and Shet, V.},
year = {2019},
howpublished = {\url{https://level5.lyft.com/dataset/}}
}

License

CC BY-NC-SA 4.0

0
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