The greenhouse remote sensing image dataset we produced contains 2101 tiles and 23914 greenhouses. And in the data set, 37.9% of dense scenes were added, so that the model trained through this data set could better adapt to the dense scene detection task.

DOI Link: 
10.21227/y6j3-fq20
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[1] Bin Xiao, Xiaoyang Liu, Jizong Jiao, "The greenhouse remote sensing image dataset", IEEE Dataport, 2022. [Online]. Available: http://dx.doi.org/10.21227/y6j3-fq20. Accessed: Jan. 03, 2025.
@data{y6j3-fq20-22,
doi = {10.21227/y6j3-fq20},
url = {http://dx.doi.org/10.21227/y6j3-fq20},
author = {Bin Xiao; Xiaoyang Liu; Jizong Jiao },
publisher = {IEEE Dataport},
title = {The greenhouse remote sensing image dataset},
year = {2022} }
TY - DATA
T1 - The greenhouse remote sensing image dataset
AU - Bin Xiao; Xiaoyang Liu; Jizong Jiao
PY - 2022
PB - IEEE Dataport
UR - 10.21227/y6j3-fq20
ER -
Bin Xiao, Xiaoyang Liu, Jizong Jiao. (2022). The greenhouse remote sensing image dataset. IEEE Dataport. http://dx.doi.org/10.21227/y6j3-fq20
Bin Xiao, Xiaoyang Liu, Jizong Jiao, 2022. The greenhouse remote sensing image dataset. Available at: http://dx.doi.org/10.21227/y6j3-fq20.
Bin Xiao, Xiaoyang Liu, Jizong Jiao. (2022). "The greenhouse remote sensing image dataset." Web.
1. Bin Xiao, Xiaoyang Liu, Jizong Jiao. The greenhouse remote sensing image dataset [Internet]. IEEE Dataport; 2022. Available from : http://dx.doi.org/10.21227/y6j3-fq20
Bin Xiao, Xiaoyang Liu, Jizong Jiao. "The greenhouse remote sensing image dataset." doi: 10.21227/y6j3-fq20