DOTA Aerial Images Computer Vision Project
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DOTA: A Large-Scale Dataset for Object Detection in Aerial Images
Xia, Gui-Song and Bai, Xiang and Ding, Jian and Zhu, Zhen and Belongie, Serge and Luo, Jiebo and Datcu, Mihai and Pelillo, Marcello and Zhang, Liangpei
The DOTA-v1.5 images are collected from the Google Earth, GF-2 and JL-1 satellite provided by the China Centre for Resources Satellite Data and Application, and aerial images provided by CycloMedia B.V. DOTA consists of RGB images and grayscale images. The RGB images are from Google Earth and CycloMedia, while the grayscale images are from the panchromatic band of GF-2 and JL-1 satellite images. All the images are stored in 'png' formats.
The object categories in DOTA-v1.5: plane, ship, storage tank, baseball diamond, tennis court, basketball court, ground track field, harbor, bridge, large vehicle, small vehicle, helicopter, roundabout, soccer ball field, swimming pool and container crane.
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Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
dota-aerial-images_dataset,
title = { DOTA Aerial Images Dataset },
type = { Open Source Dataset },
author = { Felipe Coradesque },
howpublished = { \url{ https://universe.roboflow.com/felipe-coradesque-6gmum/dota-aerial-images } },
url = { https://universe.roboflow.com/felipe-coradesque-6gmum/dota-aerial-images },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2023 },
month = { jun },
note = { visited on 2024-12-03 },
}