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dataset.html
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<!DOCTYPE html>
<html>
<head>
<meta 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>
<!-- <script src="http://cdn.static.runoob.com/libs/bootstrap/3.3.7/js/bootstrap.min.js"></script> -->
<style>
body {
background-color: rgb(250, 250, 250);
/*UCLA bgcolor*/
}
</style>
</head>
<body>
<div class="container">
<div class="row">
<div class="span12">
<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="span4">
</div>
<div class="span4">
<ul class="nav nav-tabs">
<!-- <li class="active"> -->
<li>
<a href="index.html">Home</a>
</li>
<li class="active">
<a href="dataset.html">Dataset</a>
</li>
<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 class="span4">
</div>
</div>
<h2 style="text-align:left; margin-bottom:10px; margin-top:30px; ">
Image Source and Usage License
</h2>
<p style="text-align:justify;">
There are three kind of image sources in DOTA-v2.0. The first is the Google Earth. The second is the satellite platform (JL-1 and GF-2).
The third is the airbone images taken in rotterdam.
</p>
<p style="text-align:justify;">
Use of the images from Google Earth must respect the corresponding terms of use:
<a href="https://www.google.com/permissions/geoguidelines.html">"Google Earth" terms of use</a>.
</p>
<p style="text-align:justify;">
All images and their associated annotations in DOTA
<strong style="color:blue">can be used for academic purposes only, but any commercial use is prohibited</strong>.
</p>
<h2>
Object Category
</h2>
<p>
The object categories in DOTA-v1.0 include: 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, container crane, airport, helipad.
</p>
<!-- <p>
Fifteen categories are chosen and annotated in our dataset
<ul>
<li>plane</li>
<li>ship</li>
<li>storage tank</li>
<li>baseball diamond</li>
<li>tennis court</li>
<li>basketball court</li>
<li>ground track field</li>
<li>harbor</li>
<li>bridge</li>
<li>large vehicle</li>
<li>small vehicle</li>
<li>helicopter</li>
<li>roundabout</li>
<li>soccer ball field</li>
<li>basketball court</li>
</ul>
</p> -->
<h2>
Annotation format
</h2>
<p style="text-align:justify; font-size: 17px">
In the dataset, each instance's location is annotated by a quadrilateral bounding boxes, which can be denoted as
<strong
style="color:blue"> "x
<sub>1</sub>, y
<sub>1</sub>, x
<sub>2</sub>, y
<sub>2</sub>, x
<sub>3</sub>, y
<sub>3</sub>, x
<sub>4</sub>, y
<sub>4</sub>" </strong>
where (x
<sub>i</sub>, y
<sub>i</sub>) denotes the positions of the oriented bounding boxes' vertices in the image. The vertices are arranged in
a clockwise order. The following is the Visualization of adopted annotation method. The yellow point represents the
<strong style="color:blue">starting point</strong>. which refers to: (a) top left corner of a plane, (b) top left corner of a large vehicle diamond,
(c) the center of sector-shaped baseball.
</p>
<p style="text-align:justify; font-size: 17px">
Except the annotation of location, category label is assigned for each instance, which comes from one of the above 18 selected
categories, and meanwhile a difficult label is provided which indicates whether the instance is difficult to be detected(1
for difficult, 0 for not difficult). Annotations for an image are saved in a text file with the same file name. At the
first line, 'imagesource'(from GoogleEarth, GF-2, JL-1 or Aerial) is given. At the second line, ’gsd’(ground sample distance,
the physical size of one image pixel, in meters) is given.
<strong style="color:blue">Note if the 'gsd' is missing, it is annotated to be 'null'.</strong> From third line to last line in annotation text
file, annotation for each instance is given. The annotation format is:
</p>
<pre>
<code style="font-size:16px;">
'imagesource':imagesource
'gsd':gsd
x<sub>1</sub>, y<sub>1</sub>, x<sub>2</sub>, y<sub>2</sub>, x<sub>3</sub>, y<sub>3</sub>, x<sub>4</sub>, y<sub>4</sub>, category, difficult
x<sub>1</sub>, y<sub>1</sub>, x<sub>2</sub>, y<sub>2</sub>, x<sub>3</sub>, y<sub>3</sub>, x<sub>4</sub>, y<sub>4</sub>, category, difficult
...
</code>
</pre>
<div class="container">
<!-- <div class="row">
<div class="col-md-2 col-md-offset-5">
<p>
visulizationfsfsdfdsffffff,ffffffffff
</p>
</div>
</div> -->
<div class="row">
<div class="col-xs-4 col-md-4">
<div class="container">
<!-- <h2>Rounded Corners</h2> -->
<!-- <img src="http://captain.whu.edu.cn/DOTAweb/images/plane1.jpg" class="img-rounded" alt="Cinque Terre" width="304" height="236"> -->
<img src="images/plane1.jpg" class="img-rounded" alt="Cinque Terre" width="25%">
<!-- <figcaption style="position:absolute; left:180px; font-size:18px;"><strong>(a)</strong></figcaption> -->
<figcaption style="position:absolute; left:44%; font-size:18px;">
<strong>(a)</strong>
</figcaption>
<!-- <p style="text-align:center;position:relative"> a </p> -->
</div>
</div>
<div class="col-xs-4 col-md-4">
<div class="container">
<!-- <h2>Rounded Corners</h2> -->
<!-- <img src="http://captain.whu.edu.cn/DOTAweb/images/rotaterec.jpg" class="img-rounded" alt="Cinque Terre" width="304" height="236"> -->
<img src="images/rotaterec.jpg" class="img-rounded" alt="Cinque Terre" width="25%">
<!-- <figcaption style="position:absolute; left:180px; font-size:18px"> <strong>(b)</strong></figcaption> -->
<figcaption style="position:absolute; left:45%; font-size:18px">
<strong>(b)</strong>
</figcaption>
<!-- <p style="text-align:center">b </p> -->
</div>
</div>
<div class="col-xs-4 col-md-4">
<div class="container">
<!-- <h2>Rounded Corners</h2> -->
<!-- <img src="http://captain.whu.edu.cn/DOTAweb/images/baseball2.jpg" class="img-rounded" alt="Cinque Terre" width="304" height="236"> -->
<img src="images/baseball2.jpg" class="img-rounded" alt="Cinque Terre" width="25%">
<!-- <p style="text-align:center">c </p> -->
<!-- <p style="text-align:center">c </p> -->
<figcaption style="position:absolute; left:45%; font-size:18px">
<strong>(c)</strong>
</figcaption>
</div>
</div>
</div>
</div>
<br>
<!-- <img src="instances-DOTA.jpg" class="img-responsive center-block" /> -->
<h2>
Development kit
</h2>
<p>
The
<a href="https://github.com/CAPTAIN-WHU/DOTA_devkit">Development kit</a> provide the following function
<ul>
<li>
Load and visulize the data.
</li>
<li>
Evaluate the result.
</li>
<li>
Split and merge the data.
</li>
</ul>
</p>
<h2>
Trained Models
</h2>
<p>
The following is the models trained in DOTA.
<!-- <ul>
<li>
<a href="https://github.com/jessemelpolio/Faster_RCNN_for_DOTA">Faster R-CNN OBB</a>
</li>
<li>
<a href="https://github.com/ringringyi/DOTA_models">SSD and R-FCN</a>
</li>
<li>
<a href="https://github.com/ringringyi/DOTA_YOLOv2">YOLO-v2</a>
</li>
</ul> -->
</p>
<h2>
Data Download
</h2>
<p style="text-align:justify; font-size: 17px">
You can download DOTA-v2.0 from either Baidu Drive or Google Drive, according to your network connections.
</p>
<ul>
<!-- <li>
Dota Training Images <a href="#">[Google Drive]</a> <a href="#">[Baidu Drive]</a>
</li>
<li>
Dota Validation Images <a href="#">[Google Drive]</a> <a href="#">[Baidu Drive]</a>
</li>
<li>
Testing images <a href="#">[Google Drive]</a> <a href="#">[Baidu Drive]</a>
</li>
<!-- <a href="http://captain.whu.edu.cn/datasets/FakeDota_train.tar">DOTA_test</a> -->
<!-- <li>
Dota Training Annotations <a href="#">[Google Drive]</a> <a href="#">[Baidu Drive]</a>
</li>
<li>
Dota Validation Annotations <a href="#">[Google Drive]</a> <a href="#">[Baidu Drive]</a>
</li> -->
<li style="font-size:17px">
DOTA-v2.0 on Baidu Drive:
<a href="">Train set</a>,
<a href="https://pan.baidu.com/s/1qZCoF72">Val set</a>,
<a href="https://pan.baidu.com/s/1i6ly9Id">Test-Dev images</a>
</li>
<li style="font-size:17px">
DOTA-v2.0 on Google Drive:
<a href="https://drive.google.com/drive/folders/1gmeE3D7R62UAtuIFOB9j2M5cUPTwtsxK?usp=sharing">Train set</a>,
<a href="https://drive.google.com/drive/folders/1n5w45suVOyaqY84hltJhIZdtVFD9B224?usp=sharing">Val set</a>,
<a href="https://drive.google.com/drive/folders/1mYOf5USMGNcJRPcvRVJVV1uHEalG5RPl?usp=sharing">Test-Dev images</a>
</li>
<br>
<br>
</ul>
</div>
</div>
<br>
<p align="center">
<a href="https://clustrmaps.com/site/1azfj" title="Visit tracker">
<img src="//www.clustrmaps.com/map_v2.png?d=nj-0YcGTgR29XUNgouMq7DH65Mt4ec4BvufmGUydZjg&cl=ffffff" />
</a>
</p>
<br>
</div>
</body>
</html>