It is an open dataset for object detection in remote sensing images.

Last update: Dec 08, 2022

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Deep Learning RSOD-Dataset-

Overview

RSOD-Dataset

It is an open dataset for object detection in remote sensing images. The dataset includes aircraft, oiltank, playground and overpass.

The format of this dataset is PASCAL VOC.

The dataset includes 4 files, and each file is for one kind of object. Please download the dataset files from BaiduYun.

aircraft dataset, 4993 aircrafts in 446 images.
playground, 191 playgrounds in 189 images.
overpass, 180 overpasses in 176 images.
oiltank, 1586 oiltanks in 165 images.

Please cite our papers if the dataset is useful for you. Thank you!

Y. Long, Y. Gong, Z. Xiao and Q. Liu, "Accurate Object Localization in Remote Sensing Images Based on Convolutional Neural Networks," in IEEE Transactions on Geoscience and Remote Sensing, vol. 55, no. 5, pp. 2486-2498, May 2017. doi: 10.1109/TGRS.2016.2645610, link
Z Xiao, Q Liu, G Tang, X Zhai, "Elliptic Fourier transformation-based histograms of oriented gradients for rotationally invariant object detection in remote-sensing images", International Journal of Remote Sensing, vol. 36, no. 2, 2015

Owner

remote sensing image analyzing group in Wuhan University

GitHub Repository

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