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<html xml:lang="en" xmlns="http://www.w3.org/1999/xhtml">
<head>
<meta http-equiv="Content-Type" content="text/html; charset=utf-8">
<title>DOTA2</title>
<!-- <link rel="stylesheet" href="http://cdn.static.runoob.com/libs/bootstrap/3.3.7/css/bootstrap.min.css"> -->
<link rel="stylesheet" href="bootstrap-3.3.7-dist/css/bootstrap.min.css">
<link rel="stylesheet" type="text/css" href="css/mystyle.css">
<script src="http://cdn.static.runoob.com/libs/jquery/2.1.1/jquery.min.js"></script>
</head>
<body>
<div class="container">
<div class="content">
<h1 style="text-align:center; margin-top:60px; font-weight: bold">
Object Detection in Aerial Images: A Large-scale Benchmark and Challenges
</h1>
<p style="text-align:center; margin-bottom:15px; margin-top:20px; font-size: 18px">
<a href="http://captain.whu.edu.cn/dingjian.html">Jian Ding</a>,
<a href="https://cherubicxn.github.io/">Nan Xue</a>
<a href="http://captain.whu.edu.cn/xia_En.html">Gui-Song Xia</a>,
<a href="https://sites.google.com/site/michaelyingyang/">Micheal Ying Yang</a>
<a href="http://mclab.eic.hust.edu.cn/~xbai/">Xiang Bai</a>,
<a href="http://vision.cornell.edu/se3/people/serge-belongie/">Serge Belongie</a>,
<br>
<a href="http://www.cs.rochester.edu/u/jluo/">Jiebo Luo</a>,
<a href="http://www.dlr.de/caf/en/desktopdefault.aspx/tabid-5242/8788_read-933/sortby-lastname/">Mihai Datcu</a>,
<a href="http://www.dsi.unive.it/~pelillo/">Marcello Pelillo</a>,
<a href="http://www.lmars.whu.edu.cn/prof_web/zhangliangpei/rs/xueshu.htm">Liangpei Zhang</a>.
</p>
</div>
<div class="row">
<div class="span6 offset2">
<ul class="nav nav-tabs">
<li class="active">
<a href="../WUDA-RSImg/index.html">Home</a>
</li>
<li>
<a href="dataset.html">Dataset</a>
</li>
<li>
<a href="tasks.html">Tasks</a>
</li>
<li>
<a href="evaluation.html">Evaluation</a>
</li>
<li>
<a href="results.html">Results</a>
</li>
<br />
</ul>
</div>
</div>
<div class="row">
<div class="span12">
<h3 style="text-align:left; margin-bottom:10px; margin-top:20px; ">
News
</h3>
<ul>
<!-- <li style="font-size:16px">
<strong>2018-05-29</strong>
We are mataining the server from 2018-05-29 to 2018-06-02. Try not to submit data during maintenance. If you submit data during maintenance, we cannot guarantee that data will not be lost.
<strong class="news">New</strong>
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<li style="font-size:16px">
<strong>2019-11-01</strong>
<a href="https://captain-whu.github.io/DOAI2019/dataset.html">Benchmark code</a> has released.
<strong class="news">New</strong>
</li>
</ul>
<h3>
Description
</h3>
<p style="text-align:justify; font-size: 17px">
Dota is a large-scale dataset for object detection in aerial images. It can be used to develop and evaluate object detectors
in aerial images. We will continue to update DOTA, to grow in size and scope and to reflect evolving real-world conditions.
For the
<strong style="color:blue"> DOTA-v2.0</strong>, as described in the
<a href="" style="color:red">paper (working on)</a>, it contains
<strong style="color:blue">11067</strong> aerial images from different sensors and platforms. Each image is of the size in the range from about
<strong style="color:blue"> 800 × 800 to 13,000 × 13,000 </strong> pixels and contains objects exhibiting a wide variety of scales, orientations,
and shapes. These DOTA images are then annotated by experts in aerial image interpretation using 18 common object categories.
The fully annotated DOTA-v2.0 images contains
<strong style="color:blue">1,488,666</strong> instances, each of which is labeled by an arbitrary (8 d.o.f.) quadrilateral.
</p>
<p style="text-align:justify; font-size: 17px">
For more details, refer to the
<a href="" style="color:red">working on
<strong style="color:blue">arXiv preprint (working on)</strong>
</a> of DOTA-v2.0.
</p>
<h3>
Examples of Annotated Images
</h3>
<img src="images/instances-DOTA.jpg" class="img-responsive center-block" />
<div class="section bibtex">
<h3>
Citation
</h3>
<p> If you make use of the DOTA dataset, please cite our following paper: </p>
<pre>
@InProceedings{Xia_2018_CVPR,
author = {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},
title = {DOTA: A Large-Scale Dataset for Object Detection in Aerial Images},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
</pre>
<pre>
@InProceedings{Ding_2019_CVPR,
author = {Jian Ding, Nan Xue, Yang Long, Gui-Song Xia, Qikai Lu},
title = {Learning RoI Transformer for Detecting Oriented Objects in Aerial Images},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
</pre>
</div>
<h3>
Communicate
</h3>
<p>
For any problem you have in using DOTA, you can join the WeChat group and communicate.
</p>
<img src="images/wechat7.png" height="200" width="200" />
<p>
Because the number of WeChat groups exceeds 100, invitations are needed, so the discussion group is moved to the
<a
href="https://jq.qq.com/?_wv=1027&k=5cs05Gq">QQ group</a>.
</p>
<p>
<strong style="color:red">You can also ask questions and comment on the comment area of the
<a href="http://117.78.28.204:8005/">evaluation server page</a> now.</strong>
</p>
<h3>
Contact
</h3>
<p>
If you have any the problem or feedback in using DOTA, please contact
<ul>
<li>Jian Ding at
<strong>[email protected]</strong>,</li>
<li>Gui-Song Xia at
<strong>[email protected]</strong>, </li>
<li>Xiang Bai at
<strong>[email protected]</strong>, </li>
</ul>
</p>
<br>
</div>
</div>
</div>
<br>
<p align="center">
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</body>
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