We introduce a new robotic RGBD dataset with difficult luminosity conditions: ONERA.ROOM. It comprises RGB-D data (as pairs of images) and corresponding annotations in PASCAL VOC format (xml files)

It aims at People detection, in (mostly) indoor and outdoor environments. People in the field of view can be standing, but also lying on the ground as after a fall.

Dataset Files

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[1] Joris Guerry, Le Saux Bertrand, "ONERA.ROOM", IEEE Dataport, 2019. [Online]. Available: http://dx.doi.org/10.21227/vn1v-yd15. Accessed: May. 17, 2022.
@data{vn1v-yd15-19,
doi = {10.21227/vn1v-yd15},
url = {http://dx.doi.org/10.21227/vn1v-yd15},
author = {Joris Guerry; Le Saux Bertrand },
publisher = {IEEE Dataport},
title = {ONERA.ROOM},
year = {2019} }
TY - DATA
T1 - ONERA.ROOM
AU - Joris Guerry; Le Saux Bertrand
PY - 2019
PB - IEEE Dataport
UR - 10.21227/vn1v-yd15
ER -
Joris Guerry, Le Saux Bertrand. (2019). ONERA.ROOM. IEEE Dataport. http://dx.doi.org/10.21227/vn1v-yd15
Joris Guerry, Le Saux Bertrand, 2019. ONERA.ROOM. Available at: http://dx.doi.org/10.21227/vn1v-yd15.
Joris Guerry, Le Saux Bertrand. (2019). "ONERA.ROOM." Web.
1. Joris Guerry, Le Saux Bertrand. ONERA.ROOM [Internet]. IEEE Dataport; 2019. Available from : http://dx.doi.org/10.21227/vn1v-yd15
Joris Guerry, Le Saux Bertrand. "ONERA.ROOM." doi: 10.21227/vn1v-yd15