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<html>
<head>
<meta charset="utf-8">
<meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no">
<title>WebNN Samples</title>
<link rel="stylesheet" href="https://stackpath.bootstrapcdn.com/bootstrap/4.5.2/css/bootstrap.min.css"
integrity="sha384-JcKb8q3iqJ61gNV9KGb8thSsNjpSL0n8PARn9HuZOnIxN0hoP+VmmDGMN5t9UJ0Z" crossorigin="anonymous">
<link href='./common/css/style.css' rel='stylesheet'>
<link href='./common/css/homepage.css' rel='stylesheet'>
<link href="https://fonts.googleapis.com/css2?family=Poppins&display=swap" rel="stylesheet">
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</head>
<body>
<nav class="navbar navbar-expand-md navbar-dark">
<a href="./index.html">
<div class="logosvg" id="logosvg"></div>
</a>
<span class="navbar-brand"></span>
</nav>
<div class='container' id='container'>
<div class="text-center mt-3">
<h4 class="text-info">WebNN Samples</h4>
<p>continuously update based on WebNN spec</p>
</div>
<div class="row">
<div class="col-lg">
<div class="card1 card">
<div id="bg_ce" class="cardwrapper">
<div class="data">
<div class="content">
<h1 class="title"><a class="replaceableUrl" href="./code/index.html">WebNN Code
Editor</a></h1>
<p class="text">Evaluate, review and modify WebNN sample codes interactively in web browser.</p>
<div class="samplelink">
<a class="replaceableUrl" href="./code/index.html">
Explore
<svg fill="none" stroke="currentColor" stroke-linecap="round" stroke-linejoin="round"
stroke-width="2" class="link" viewBox="0 0 24 24">
<path d="M5 12h14M12 5l7 7-7 7"></path>
</svg>
</a>
<a href="https://github.com/webmachinelearning/webnn-samples/tree/master/code/">
View Code
<svg viewBox="0 0 24 24" class="gh">
<path
d="M12 .297c-6.63 0-12 5.373-12 12 0 5.303 3.438 9.8 8.205 11.385.6.113.82-.258.82-.577 0-.285-.01-1.04-.015-2.04-3.338.724-4.042-1.61-4.042-1.61C4.422 18.07 3.633 17.7 3.633 17.7c-1.087-.744.084-.729.084-.729 1.205.084 1.838 1.236 1.838 1.236 1.07 1.835 2.809 1.305 3.495.998.108-.776.417-1.305.76-1.605-2.665-.3-5.466-1.332-5.466-5.93 0-1.31.465-2.38 1.235-3.22-.135-.303-.54-1.523.105-3.176 0 0 1.005-.322 3.3 1.23.96-.267 1.98-.399 3-.405 1.02.006 2.04.138 3 .405 2.28-1.552 3.285-1.23 3.285-1.23.645 1.653.24 2.873.12 3.176.765.84 1.23 1.91 1.23 3.22 0 4.61-2.805 5.625-5.475 5.92.42.36.81 1.096.81 2.22 0 1.606-.015 2.896-.015 3.286 0 .315.21.69.825.57C20.565 22.092 24 17.592 24 12.297c0-6.627-5.373-12-12-12">
</path>
</svg>
</a>
</div>
</div>
</div>
</div>
</div>
</div>
<div class="col-lg">
<div class="card2 card">
<div id="bg_ic" class="cardwrapper">
<div class="data">
<div class="content">
<h1 class="title"><a class="replaceableUrl" href="./image_classification/index.html">Image
Classfication</a></h1>
<p class="text">Classifying the major object in the image into a set of pre-defined classes.</p>
<div class="samplelink">
<a class="replaceableUrl" href="./image_classification/index.html">
Explore
<svg fill="none" stroke="currentColor" stroke-linecap="round" stroke-linejoin="round"
stroke-width="2" class="link" viewBox="0 0 24 24">
<path d="M5 12h14M12 5l7 7-7 7"></path>
</svg>
</a>
<a href="https://github.com/webmachinelearning/webnn-samples/tree/master/image_classification/">
View Code
<svg viewBox="0 0 24 24" class="gh">
<path
d="M12 .297c-6.63 0-12 5.373-12 12 0 5.303 3.438 9.8 8.205 11.385.6.113.82-.258.82-.577 0-.285-.01-1.04-.015-2.04-3.338.724-4.042-1.61-4.042-1.61C4.422 18.07 3.633 17.7 3.633 17.7c-1.087-.744.084-.729.084-.729 1.205.084 1.838 1.236 1.838 1.236 1.07 1.835 2.809 1.305 3.495.998.108-.776.417-1.305.76-1.605-2.665-.3-5.466-1.332-5.466-5.93 0-1.31.465-2.38 1.235-3.22-.135-.303-.54-1.523.105-3.176 0 0 1.005-.322 3.3 1.23.96-.267 1.98-.399 3-.405 1.02.006 2.04.138 3 .405 2.28-1.552 3.285-1.23 3.285-1.23.645 1.653.24 2.873.12 3.176.765.84 1.23 1.91 1.23 3.22 0 4.61-2.805 5.625-5.475 5.92.42.36.81 1.096.81 2.22 0 1.606-.015 2.896-.015 3.286 0 .315.21.69.825.57C20.565 22.092 24 17.592 24 12.297c0-6.627-5.373-12-12-12">
</path>
</svg>
</a>
</div>
</div>
</div>
</div>
</div>
</div>
<div class="col-lg">
<div class="card1 card">
<div id="bg_hr" class="cardwrapper">
<div class="data">
<div class="content">
<h1 class="title"><a class="replaceableUrl" href="./lenet/index.html">Handwritten Digits
Classification</a></h1>
<p class="text">Use LeNet to classify handwritten digits from the clasic MNIST example data set.</p>
<div class="samplelink">
<a class="replaceableUrl" href="./lenet/index.html">
Explore
<svg fill="none" stroke="currentColor" stroke-linecap="round" stroke-linejoin="round"
stroke-width="2" class="link" viewBox="0 0 24 24">
<path d="M5 12h14M12 5l7 7-7 7"></path>
</svg>
</a>
<a href="https://github.com/webmachinelearning/webnn-samples/tree/master/lenet/">
View Code
<svg viewBox="0 0 24 24" class="gh">
<path
d="M12 .297c-6.63 0-12 5.373-12 12 0 5.303 3.438 9.8 8.205 11.385.6.113.82-.258.82-.577 0-.285-.01-1.04-.015-2.04-3.338.724-4.042-1.61-4.042-1.61C4.422 18.07 3.633 17.7 3.633 17.7c-1.087-.744.084-.729.084-.729 1.205.084 1.838 1.236 1.838 1.236 1.07 1.835 2.809 1.305 3.495.998.108-.776.417-1.305.76-1.605-2.665-.3-5.466-1.332-5.466-5.93 0-1.31.465-2.38 1.235-3.22-.135-.303-.54-1.523.105-3.176 0 0 1.005-.322 3.3 1.23.96-.267 1.98-.399 3-.405 1.02.006 2.04.138 3 .405 2.28-1.552 3.285-1.23 3.285-1.23.645 1.653.24 2.873.12 3.176.765.84 1.23 1.91 1.23 3.22 0 4.61-2.805 5.625-5.475 5.92.42.36.81 1.096.81 2.22 0 1.606-.015 2.896-.015 3.286 0 .315.21.69.825.57C20.565 22.092 24 17.592 24 12.297c0-6.627-5.373-12-12-12">
</path>
</svg>
</a>
</div>
</div>
</div>
</div>
</div>
</div>
</div>
<div class="row">
<div class="col-lg">
<div class="card2 card">
<div id="bg_st" class="cardwrapper">
<div class="data">
<div class="content">
<h1 class="title"><a class="replaceableUrl" href="./style_transfer/index.html">Fast
Style Transfer</a></h1>
<p class="text">Applying the STARRY NIGHT and other painting styles of Van Gogh to your image.</p>
<div class="samplelink">
<a class="replaceableUrl" href="./style_transfer/index.html">
Explore
<svg fill="none" stroke="currentColor" stroke-linecap="round" stroke-linejoin="round"
stroke-width="2" class="link" viewBox="0 0 24 24">
<path d="M5 12h14M12 5l7 7-7 7"></path>
</svg>
</a>
<a href="https://github.com/webmachinelearning/webnn-samples/tree/master/style_transfer/">
View Code
<svg viewBox="0 0 24 24" class="gh">
<path
d="M12 .297c-6.63 0-12 5.373-12 12 0 5.303 3.438 9.8 8.205 11.385.6.113.82-.258.82-.577 0-.285-.01-1.04-.015-2.04-3.338.724-4.042-1.61-4.042-1.61C4.422 18.07 3.633 17.7 3.633 17.7c-1.087-.744.084-.729.084-.729 1.205.084 1.838 1.236 1.838 1.236 1.07 1.835 2.809 1.305 3.495.998.108-.776.417-1.305.76-1.605-2.665-.3-5.466-1.332-5.466-5.93 0-1.31.465-2.38 1.235-3.22-.135-.303-.54-1.523.105-3.176 0 0 1.005-.322 3.3 1.23.96-.267 1.98-.399 3-.405 1.02.006 2.04.138 3 .405 2.28-1.552 3.285-1.23 3.285-1.23.645 1.653.24 2.873.12 3.176.765.84 1.23 1.91 1.23 3.22 0 4.61-2.805 5.625-5.475 5.92.42.36.81 1.096.81 2.22 0 1.606-.015 2.896-.015 3.286 0 .315.21.69.825.57C20.565 22.092 24 17.592 24 12.297c0-6.627-5.373-12-12-12">
</path>
</svg>
</a>
</div>
</div>
</div>
</div>
</div>
</div>
<div class="col-lg">
<div class="card2 card">
<div id="bg_ns" class="cardwrapper">
<div class="data">
<div class="content">
<h1 class="title"><a class="replaceableUrl" href="./nsnet2/index.html">Noise
Suppression (NSNet2)</a></h1>
<p class="text">A NSNet2 baseline implementation of deep learning-based noise suppression.</p>
<div class="samplelink">
<a class="replaceableUrl" href="./nsnet2/index.html">
Explore
<svg fill="none" stroke="currentColor" stroke-linecap="round" stroke-linejoin="round"
stroke-width="2" class="link" viewBox="0 0 24 24">
<path d="M5 12h14M12 5l7 7-7 7"></path>
</svg>
</a>
<a href="https://github.com/webmachinelearning/webnn-samples/tree/master/nsnet2/">
View Code
<svg viewBox="0 0 24 24" class="gh">
<path
d="M12 .297c-6.63 0-12 5.373-12 12 0 5.303 3.438 9.8 8.205 11.385.6.113.82-.258.82-.577 0-.285-.01-1.04-.015-2.04-3.338.724-4.042-1.61-4.042-1.61C4.422 18.07 3.633 17.7 3.633 17.7c-1.087-.744.084-.729.084-.729 1.205.084 1.838 1.236 1.838 1.236 1.07 1.835 2.809 1.305 3.495.998.108-.776.417-1.305.76-1.605-2.665-.3-5.466-1.332-5.466-5.93 0-1.31.465-2.38 1.235-3.22-.135-.303-.54-1.523.105-3.176 0 0 1.005-.322 3.3 1.23.96-.267 1.98-.399 3-.405 1.02.006 2.04.138 3 .405 2.28-1.552 3.285-1.23 3.285-1.23.645 1.653.24 2.873.12 3.176.765.84 1.23 1.91 1.23 3.22 0 4.61-2.805 5.625-5.475 5.92.42.36.81 1.096.81 2.22 0 1.606-.015 2.896-.015 3.286 0 .315.21.69.825.57C20.565 22.092 24 17.592 24 12.297c0-6.627-5.373-12-12-12">
</path>
</svg>
</a>
</div>
</div>
</div>
</div>
</div>
</div>
<div class="col-lg">
<div class="card2 card">
<div id="bg_ns2" class="cardwrapper">
<div class="data">
<div class="content">
<h1 class="title"><a class="replaceableUrl" href="./rnnoise/index.html">Noise
Suppression (RNNoise)</a></h1>
<p class="text">An RNNoise baseline implementation of deep learning-based noise suppression.</p>
<div class="samplelink">
<a class="replaceableUrl" href="./rnnoise/index.html">
Explore
<svg fill="none" stroke="currentColor" stroke-linecap="round" stroke-linejoin="round"
stroke-width="2" class="link" viewBox="0 0 24 24">
<path d="M5 12h14M12 5l7 7-7 7"></path>
</svg>
</a>
<a href="https://github.com/webmachinelearning/webnn-samples/tree/master/rnnoise/">
View Code
<svg viewBox="0 0 24 24" class="gh">
<path
d="M12 .297c-6.63 0-12 5.373-12 12 0 5.303 3.438 9.8 8.205 11.385.6.113.82-.258.82-.577 0-.285-.01-1.04-.015-2.04-3.338.724-4.042-1.61-4.042-1.61C4.422 18.07 3.633 17.7 3.633 17.7c-1.087-.744.084-.729.084-.729 1.205.084 1.838 1.236 1.838 1.236 1.07 1.835 2.809 1.305 3.495.998.108-.776.417-1.305.76-1.605-2.665-.3-5.466-1.332-5.466-5.93 0-1.31.465-2.38 1.235-3.22-.135-.303-.54-1.523.105-3.176 0 0 1.005-.322 3.3 1.23.96-.267 1.98-.399 3-.405 1.02.006 2.04.138 3 .405 2.28-1.552 3.285-1.23 3.285-1.23.645 1.653.24 2.873.12 3.176.765.84 1.23 1.91 1.23 3.22 0 4.61-2.805 5.625-5.475 5.92.42.36.81 1.096.81 2.22 0 1.606-.015 2.896-.015 3.286 0 .315.21.69.825.57C20.565 22.092 24 17.592 24 12.297c0-6.627-5.373-12-12-12">
</path>
</svg>
</a>
</div>
</div>
</div>
</div>
</div>
</div>
</div>
<div class="row">
<div class="col-lg">
<div class="card2 card">
<div id="bg_od" class="cardwrapper">
<div class="data">
<div class="content">
<h1 class="title"><a class="replaceableUrl" href="./object_detection/index.html">Object
Detection</a></h1>
<p class="text">Detecting instances of semantic objects of a certain class in digital images and videos.
</p>
<div class="samplelink">
<a class="replaceableUrl" href="./object_detection/index.html">
Explore
<svg fill="none" stroke="currentColor" stroke-linecap="round" stroke-linejoin="round"
stroke-width="2" class="link" viewBox="0 0 24 24">
<path d="M5 12h14M12 5l7 7-7 7"></path>
</svg>
</a>
<a href="https://github.com/webmachinelearning/webnn-samples/tree/master/object_detection/">
View Code
<svg viewBox="0 0 24 24" class="gh">
<path
d="M12 .297c-6.63 0-12 5.373-12 12 0 5.303 3.438 9.8 8.205 11.385.6.113.82-.258.82-.577 0-.285-.01-1.04-.015-2.04-3.338.724-4.042-1.61-4.042-1.61C4.422 18.07 3.633 17.7 3.633 17.7c-1.087-.744.084-.729.084-.729 1.205.084 1.838 1.236 1.838 1.236 1.07 1.835 2.809 1.305 3.495.998.108-.776.417-1.305.76-1.605-2.665-.3-5.466-1.332-5.466-5.93 0-1.31.465-2.38 1.235-3.22-.135-.303-.54-1.523.105-3.176 0 0 1.005-.322 3.3 1.23.96-.267 1.98-.399 3-.405 1.02.006 2.04.138 3 .405 2.28-1.552 3.285-1.23 3.285-1.23.645 1.653.24 2.873.12 3.176.765.84 1.23 1.91 1.23 3.22 0 4.61-2.805 5.625-5.475 5.92.42.36.81 1.096.81 2.22 0 1.606-.015 2.896-.015 3.286 0 .315.21.69.825.57C20.565 22.092 24 17.592 24 12.297c0-6.627-5.373-12-12-12">
</path>
</svg>
</a>
</div>
</div>
</div>
</div>
</div>
</div>
<div class="col-lg">
<div class="card2 card">
<div id="bg_ss" class="cardwrapper">
<div class="data">
<div class="content">
<h1 class="title"><a class="replaceableUrl" href="./semantic_segmentation/index.html">Semantic
Segmentation</a></h1>
<p class="text">Partitioning image into semantically meaningful parts to classify each part into
pre-determined class.</p>
<div class="samplelink">
<a class="replaceableUrl" href="./semantic_segmentation/index.html">
Explore
<svg fill="none" stroke="currentColor" stroke-linecap="round" stroke-linejoin="round"
stroke-width="2" class="link" viewBox="0 0 24 24">
<path d="M5 12h14M12 5l7 7-7 7"></path>
</svg>
</a>
<a href="https://github.com/webmachinelearning/webnn-samples/tree/master/semantic_segmentation/">
View Code
<svg viewBox="0 0 24 24" class="gh">
<path
d="M12 .297c-6.63 0-12 5.373-12 12 0 5.303 3.438 9.8 8.205 11.385.6.113.82-.258.82-.577 0-.285-.01-1.04-.015-2.04-3.338.724-4.042-1.61-4.042-1.61C4.422 18.07 3.633 17.7 3.633 17.7c-1.087-.744.084-.729.084-.729 1.205.084 1.838 1.236 1.838 1.236 1.07 1.835 2.809 1.305 3.495.998.108-.776.417-1.305.76-1.605-2.665-.3-5.466-1.332-5.466-5.93 0-1.31.465-2.38 1.235-3.22-.135-.303-.54-1.523.105-3.176 0 0 1.005-.322 3.3 1.23.96-.267 1.98-.399 3-.405 1.02.006 2.04.138 3 .405 2.28-1.552 3.285-1.23 3.285-1.23.645 1.653.24 2.873.12 3.176.765.84 1.23 1.91 1.23 3.22 0 4.61-2.805 5.625-5.475 5.92.42.36.81 1.096.81 2.22 0 1.606-.015 2.896-.015 3.286 0 .315.21.69.825.57C20.565 22.092 24 17.592 24 12.297c0-6.627-5.373-12-12-12">
</path>
</svg>
</a>
</div>
</div>
</div>
</div>
</div>
</div>
<div class="col-lg">
<div class="card2 card">
<div id="bg_fld" class="cardwrapper">
<div class="data">
<div class="content">
<h1 class="title"><a class="replaceableUrl" href="./facial_landmark_detection/index.html">Facial
Landmark Detection</a></h1>
<p class="text">Detecting facial landmarks like eyes, nose, mouth, etc., which can be used for web-based
try-on simulator of online store.</p>
<div class="samplelink">
<a class="replaceableUrl" href="./facial_landmark_detection/index.html">
Explore
<svg fill="none" stroke="currentColor" stroke-linecap="round" stroke-linejoin="round"
stroke-width="2" class="link" viewBox="0 0 24 24">
<path d="M5 12h14M12 5l7 7-7 7"></path>
</svg>
</a>
<a href="https://github.com/webmachinelearning/webnn-samples/tree/master/facial_landmark_detection/">
View Code
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<h1 class="title"><a class="replaceableUrl" href="./face_recognition/index.html">Face
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<p class="text">Detecting faces of participants using object detection and checking whether each face was present or not.
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