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<!DOCTYPE html>
<html lang="en">
<head>
<meta name="viewport" http-equiv="Content-Type" content="text/html; charset=UTF-8">
<title>VQA: Visual Question Answering</title>
<link rel="stylesheet" href="./static/css/foundation.css">
<link rel="stylesheet" href="./static/css/main.css">
<script src="./static/js/vendor/jquery.js"></script>
<script src="./static/js/jquery-2.1.3.min.js"></script>
<style>
.dataset {
width: 100%;
height: 300px;
display: flex;
align-items: center;
justify-content: center
}
.dataset-container {
width: 100%;
min-height: 170px;
max-height: 220px;
margin: 0 auto;
}
.dataset-title {
width: 100%;
font-size: 28pt;
margin-top: -8px
}
.dataset-description {
width: 100%;
color: black;
text-align: justify;
cursor: auto
}
.dataset-image {
width: 30%;
margin-right: 25px;
/*margin-bottom: 60px;*/
cursor: pointer;
float: left;
}
.dataset-img {
width: 100%;
max-height: 350px;
}
</style>
</head>
<body class="off-canvas hide-extras" style="min-width:1200px; min-height:750px;">
<section role="main">
<header>
<div class="row">
<a href="http://visualqa.org/"><img style="height: 100px; position:absolute; top:4px; left:0px;" src="./static/img/main.png" alt="logo" /></a>
<h1><img style="height: 90px;" src="./static/img/logo.png" alt="logo" /><br></h1>
<br>
</div>
</header>
<div class="contain-to-grid">
<nav class="top-bar" data-topbar>
<ul class="title-area">
<li class="toggle-topbar menu-icon"><a href="#"><span>Menu</span></a>
</li>
</ul>
<section class="top-bar-section">
<!-- Right Nav Section -->
<ul class="right">
<li><a href="index.html">Home</a></li>
<li><a href="people.html">People</a></li>
<li><a href="code.html">Code</a></li>
<li><a href="http://vqa.cloudcv.org/" onClick="ga('send', 'event', { eventCategory: 'Outgoing Link', eventAction: 'Demo', eventLabel: 'Demo'});">Demo</a></li>
<li class="has-dropdown"><a href="download.html">Download</a>
<ul class="dropdown">
<li><a href="download.html">VQA v2</a></li>
<li><a href="vqa_v1_download.html">VQA v1</a></li>
</ul>
</li>
<li><a href="evaluation.html">Evaluation</a></li>
<li class="has-dropdown"><a href="challenge.html">Challenge</a>
<ul class="dropdown">
<li><a href="challenge.html">2021</a></li>
<li><a href="challenge_2020.html">2020</a></li>
<li><a href="challenge_2019.html">2019</a></li><li><a href="challenge_2018.html">2018</a></li>
<li><a href="challenge_2017.html">2017</a></li>
<li><a href="challenge_2016.html">2016</a></li>
</ul>
</li>
<li class="has-dropdown"><a href="http://visualqa.org/vqa_v2_teaser.html">Browse</a>
<ul class="dropdown">
<li><a href="http://visualqa.org/vqa_v2_teaser.html">VQA v2</a></li>
<li><a href="https://vqabrowser.cloudcv.org/">VQA v1</a></li>
</ul>
</li>
<li><a href="http://visualqa.org/visualize/">Visualize</a></li>
<!-- <li class="has-dropdown"><a href="http://visualqa.org/visualize/">Visualize</a>
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<li><a href="workshop_2019.html">2019</a></li>
<li><a href="workshop_2018.html">2018</a></li>
<li><a href="workshop_2017.html">2017</a></li>
<li><a href="workshop_2016.html">2016</a></li>
</ul>
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<li class="active"><a href="external.html">External</a></li>
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</div>
</section>
<section role="main" style="padding: 1em;">
<div class="row">
<h1 style="font-size:30px; color:grey; font-weight: 200; text-align:left;">Datasets built on top of VQA</h1>
<div class="dataset">
<!-- Template -->
<div id="dataset-container-template" class="dataset-container">
<div class="dataset-image">
<a href="http://www.mi.t.u-tokyo.ac.jp/static/projects/fsvqa/"><img class="dataset-img" src="static/external/fsvqa_teaser.png" /></a>
</div>
<div class="dataset-title">
<p style="font-size:35px; font-weight: 200; text-align:left;"><a href="http://www.mi.t.u-tokyo.ac.jp/static/projects/fsvqa/">1 Million Full-Sentences Visual Question Answering (FSVQA)</a></p>
</div>
<div class="dataset-description">
<p style="font-size:20px; font-weight: 200; text-align:left;">Full-Sentence Visual Question Answering (FSVQA) consists of nearly 1 million pairs of questions and full-sentence answers for images, built by applying a number of rule-based natural language processing techniques to the original VQA dataset and captions in the MS COCO dataset.</p>
</div>
</div>
</div>
<div class="large-12-columns"><br><br><br><br><br><br><hr></div>
<div class="dataset">
<!-- Template -->
<div id="dataset-container-template" class="dataset-container">
<div class="dataset-image">
<a href="https://computing.ece.vt.edu/~abhshkdz/vqa-hat/"><img class="dataset-img" src="static/external/att_comparison.jpg" /></a>
</div>
<div class="dataset-title">
<p style="font-size:35px; font-weight: 200; text-align:left;"><a href="https://computing.ece.vt.edu/~abhshkdz/vqa-hat/">VQA Human Attention (VQA-HAT)</a></p>
</div>
<div class="dataset-description">
<p style="font-size:20px; font-weight: 200; text-align:left;">The VQA-HAT dataset consists of ~60k attention annotations from humans of where they choose to look while answering questions about images, collected via a game-inspired interface that requires subjects to sharpen regions of a blurred image to answer a question.</p>
</div>
</div>
</div>
<div class="large-12-columns"><br><br><br><br><br><br><hr></div>
<div class="dataset">
<!-- Template -->
<div id="dataset-container-template" class="dataset-container">
<div class="dataset-image">
<a href="https://victorzhou.com/blog/easy-vqa/"><img class="dataset-img" src="static/external/easy_vqa.png" /></a>
</div>
<div class="dataset-title">
<p style="font-size:35px; font-weight: 200; text-align:left;"><a href="https://victorzhou.com/blog/easy-vqa/">Easy Visual Question Answering (easy-VQA)</a></p>
</div>
<div class="dataset-description">
<p style="font-size:20px; font-weight: 200; text-align:left;">The easy-VQA dataset is a beginner-friendly way to get started — a “Hello World” for VQA. It contains 5k simple, geometric images and 48k questions with only 13 possible answers. Extremely accurate models can be trained on this dataset relatively quickly, even with unimpressive hardware.</p>
</div>
</div>
</div>
<div class="large-12-columns"><br><br><br><br><br><br><hr></div>
</div>
</section>
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