Open Sensor Data for Rail 2023|铁路交通数据集|多传感器数据数据集

*Source: own illustration based on images by DB Netz AG*

## Project Info
  

The "Open Sensor Data for Rail 2023" (OSDaR23, [10.57806/9mv146r0](https://doi.org/10.57806/9mv146r0)) has been created in a joint research project by the [German Centre for Rail Traffic Research at the Federal Railway Authority (DZSF)](https://www.dzsf.bund.de), [Digitale Schiene Deutschland / DB Netz AG](http://digitale-schiene-deutschland.de), and [FusionSystems GmbH](https://www.fusionsystems.de). Research report and Labeling Guide can be obtained from the [DZSF website](https://www.dzsf.bund.de/SharedDocs/Standardartikel/DZSF/Projekte/Projekt_70_Reale_Datensaetze.html).

The data set consists of 45 sequences of annotated multi-sensor data (color camera, infrared camera, lidar, radar, localization, IMU). Data have been collected on different railway tracks in Hamburg, Germany.

## License Info
The "Open Sensor Data for Rail 2023" (OSDaR23, [10.57806/9mv146r0](https://doi.org/10.57806/9mv146r0)) is published by the [German Centre for Rail Traffic Research at the Federal Railway Authority (DZSF)](https://www.dzsf.bund.de). Annotation data (file type `.json`) are published under [CC0 1.0](https://creativecommons.org/publicdomain/zero/1.0/legalcode). Sensor data (file types `.png`, `.pcd`, and `.csv`) are published under [CC BY-SA 3.0 de](https://creativecommons.org/licenses/by-sa/3.0/de/legalcode).

## Further Info
The data set can be used in Python with the [RailLabel](https://github.com/DSD-DBS/raillabel) package published by DB Netz AG.

The data set can be viewed, for example, with the [WebLabel Player](https://github.com/Vicomtech/weblabel) published by [Vicomtech Research Foundation](https://www.vicomtech.org/en/). *(Disclaimer: Vicomtech was not part of the research project and there are currently no further relationships between DZSF and Vicomtech.)*


## Statistics
Number of Multisensor-Frames: `1534`

Statistic of annotation objects:

object class number of annotations
------------------ ---------------------
person 73 421
crowd 1 352
train 8 290
wagons 110
bicycle 1 779
group of bicycles 644
motorcycle 14
road vehicle 12 669
animal 3 288
group of animals 0
wheelchair 0
drag shoe 79
track 18 543
transition 636
switch 2 947
catenary pole 27 706
signal pole 14 374
signal 32 790
signal bridge 312
buffer stop 4 539
flame 410
smoke 188
------------------ ---------------------
total 204 091