Benchmark dataset for small and narrow rectangular object detection from Google Earth imagery
- Citation Author(s):
- Submitted by:
- zhonghua hong
- Last updated:
- Tue, 07/30/2019 - 10:03
- DOI:
- 10.21227/j7nx-2495
- Data Format:
- License:
- Dataset Views:
- 121
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The benchmark dataset are consisted of 2,413 three-channel RGB images obtained from Google Earth satellite images and AID dataset.
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.
Dataset Files
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doi = {10.21227/j7nx-2495},
url = {http://dx.doi.org/10.21227/j7nx-2495},
author = {shenlu jiang; zhonghua hong },
publisher = {IEEE Dataport},
title = {Benchmark dataset for small and narrow rectangular object detection from Google Earth imagery},
year = {2019} }
T1 - Benchmark dataset for small and narrow rectangular object detection from Google Earth imagery
AU - shenlu jiang; zhonghua hong
PY - 2019
PB - IEEE Dataport
UR - 10.21227/j7nx-2495
ER -