DIODE A Dense Indoor and Outdoor DEpth Dataset rgb depth (3 files)
train.tar.gz |
86.75GB |
val.tar.gz |
2.77GB |
Type: Dataset
Metadata:
Tags:
Metadata:
@article{diode_dataset,
title= {{DIODE}: {A} {D}ense {I}ndoor and {O}utdoor {DE}pth {D}ataset},
author= {Igor Vasiljevic and Nick Kolkin and Shanyi Zhang and Ruotian Luo and Haochen Wang and Falcon Z. Dai and Andrea F. Daniele and Mohammadreza Mostajabi and Steven Basart and Matthew R. Walter and Gregory Shakhnarovich},
journal= {CoRR},
volume= {abs/1908.00463},
year= {2019},
url= {http://arxiv.org/abs/1908.00463},
abstract= {},
keywords= {},
terms= {},
license= {},
superseded= {}
}
Citation:
Vasiljevic, I., Kolkin, N., Zhang, S., Luo, R., Wang, H., Dai, F. Z., Daniele, A. F., Mostajabi, M., Basart, S., Walter, M. R., & Shakhnarovich, G.. (2019). {DIODE}: {A} {D}ense {I}ndoor and {O}utdoor {DE}pth {D}ataset [Data set]. Academic Torrents. https://academictorrents.com/details/464be310042eb618f3720ce27d1276ec9641ebff
train.tar.gz