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Benchmark dataset for small and narrow rectangular object detection from Google Earth imagery

Citation Author(s):
shenlu jiang (Sungkyunkwan University)
zhonghua hong (Shanghai Ocean University)
Submitted by:
zhonghua hong
Last updated:
DOI:
10.21227/j7nx-2495
Data Format:
Research Article Link:
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Abstract

The benchmark dataset  are consisted of 2,413 three-channel RGB images obtained from Google Earth satellite images and AID dataset.

Instructions:

To extract the dataser, please unzip the main file 'small-narrow-rectangular-object-7.zip'. There are 3 folders inside it: Annotations contains the Voc format of the labels. JPEGImages contains the original images. Labels contains the intial labeled file. All images are in JPEG format.