3_fire_site_3.4
URL: https://download.data.fid-move.de/dzsf/osdar23/3_fire_site_3.4.zip
Source: own illustration based on image / data by DB Netz AG
Project Info
The "Open Sensor Data for Rail 2023" (OSDaR23, 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), Digitale Schiene Deutschland / DB Netz AG, and FusionSystems GmbH. The Research report (10.48755/dzsf.230012.01) and the Labeling Guide (10.48755/dzsf.230012.05) can be obtained from the DZSF website.
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) is published by the German Centre for Rail Traffic Research at the Federal Railway Authority (DZSF). Annotation data (file type .json
) are published under CC0 1.0. Sensor data (file types .png
, .pcd
, and .csv
) are published under CC BY-SA 3.0 de.
Further Info
The data set can be used in Python with the RailLabel package published by DB Netz AG.
The data set can be viewed, for example, with the WebLabel Player published by Vicomtech Research Foundation. (Disclaimer: Vicomtech was not part of the research project and there are currently no further relationships between DZSF and Vicomtech.)
Sequence Info for '3_fire_site_3.4'
Description for Sequence Group '3_fire_site'
The ego train passes through an area with a noise barrier on the right and vegetation on the left. Further ahead one can see a fire. The ego train travels on different tracks depending on the subsequence and the distance to the fire is different. In 3.1 and 3.2 it is on the right track, between the two subsequences there is a time gap of 24 seconds. In 3.3 the train is also on the right track in close proximity to the fire. In 3.4 it is on the middle track, to the left of it another train can be seen. Common object classes are track, person (passenger, worker, other), signal and catenary pole.
Statistics for Sequence '3_fire_site_3.4'
Number of Multisensor-Frames: 10
Total file size: 841 MB
(compressed archive is 10-15% smaller)
Statistic of annotation objects:
object class number of annotations
------------------ ---------------------
person 312
crowd 0
train 77
wagons 0
bicycle 0
group of bicycles 0
motorcycle 0
road vehicle 0
animal 0
group of animals 0
wheelchair 0
drag shoe 0
track 200
transition 10
switch 20
catenary pole 470
signal pole 215
signal 305
signal bridge 0
buffer stop 0
flame 30
smoke 0
------------------ ---------------------
total 1 639
Es gibt noch keine Darstellungen/Views für diese Ressource
Zusätzliche Informationen
Feld | Wert |
---|---|
Daten wurden zuletzt aktualisiert | 28. Februar 2023 |
Metadaten zuletzt aktualisiert | 7. Dezember 2023 |
Erstellt | 28. Februar 2023 |
Format | ZIP PNG PCD CSV JSON |
Lizenz | Creative Commons Attribution-ShareAlike 3.0 Germany |
Id | 068947d5-9036-410e-bbb7-9409c5fcb264 |
Mimetype | application/zip |
Package id | 3d7e7406-639f-49f6-bbca-caac511b4032 |
Position | 6 |
State | active |
Version | 1.2.0 |