ONCE

One Million Scenes

Dataset Information
Modalities
Images, LiDAR
Introduced
2021
License
Homepage

Overview

ONCE (One millioN sCenEs) is a dataset for 3D object detection in the autonomous driving scenario. The ONCE dataset consists of 1 million LiDAR scenes and 7 million corresponding camera images. The data is selected from 144 driving hours, which is 20x longer than other 3D autonomous driving datasets available like nuScenes and Waymo, and it is collected across a range of different areas, periods and weather conditions.

Consists of:

  • 1 Million LiDAR frames, 7 Million camera images

  • 200 km² driving regions, 144 driving hours

  • 15k fully annotated scenes with 5 classes (Car, Bus, Truck, Pedestrian, Cyclist)

  • Diverse environments (day/night, sunny/rainy, urban/suburban areas)

Variants: ONCE

Associated Benchmarks

This dataset is used in 1 benchmark:

Recent Benchmark Submissions

Task Model Paper Date
3D Object Detection LION LION: Linear Group RNN for … 2024-07-25
3D Object Detection CenterPoint Center-based 3D Object Detection and … 2020-06-19

Research Papers

Recent papers with results on this dataset: