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<h1 align="center">IRSTD-1k:The dataset of ISNet [CVPR 2022]</h1> <p align="center">

<a href=""> <img src="https://img.shields.io/badge/license-MIT-blue"></a>

</p> <h4 align="center">This is the official repository of the paper ''ISNet: Shape Matters for Infrared Small Target Detection''</a>.</h4> <h5 align="center"><em>Mingjing Zhang, Rui Zhang<sup>&#8727;</sup>, Yuxiang Yang, Haichen Bai, Jing Zhang<sup>&#8727;</sup>, and Jie Guo</em></h5>
<h3><strong><i>:postbox: News</i></strong></h3>

[2022-3-20]: Publish the dataset <strong>IRSTD-1k</strong> (the <strong>largest</strong> realistic infrared small target detection dataset, which consists of <strong>1,001</strong> manually labeled realistic images with various target shapes, different target sizes, and rich clutter back-grounds from diverse scenes.), the train code and the test code will come soon.

Dataset<p>Dataset Link<br>(Google Drive)</p><p>Dataset Link<br>(Baidu Wangpan 百度网盘)</p>Dataset Release Agreement
IRSTD-1kLinkLink (pw: VZtn)[Agreement (MIT License)]

!!!! Code is available at master-branch