Objectdetection Development Tutorials, Guides & Insights
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Tutorial
javascript
Building a Real-Time Object Detection Web App with TensorFlow.js and p5.js
<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8">
<title>Real-Time Object Detection</title>
<style>
body {
text-align: center;
background: #222;
color: #fff;
font-family: sans-serif;
}
canvas {
border: 2px solid #fff;
}
</style>
</head>
<body>
<h1>Real-Time Object Detection Web App</h1>
<!-- p5.js and TensorFlow.js -->
<script src="https://cdn.jsdelivr.net/npm/p5@1.6.0/lib/p5.min.js"></script>
<script src="https://cdn.jsdelivr.net/npm/@tensorflow/tfjs@4.6.0/dist/tf.min.js"></script>
<!-- Pre-trained model: COCO-SSD -->
<script src="https://cdn.jsdelivr.net/npm/@tensorflow-models/coco-ssd"></script>
<script src="sketch.js"></script>
</body>
</html>This HTML file loads p5.js, TensorFlow.js, and the COCO-SSD model library. We also reference our custom script file (sketch.js), which will contain our application logic.
Feb 12, 2025
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