<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/"><channel><title>Coco-Ssd on Selvam Subbiah</title><link>https://selvamsubbiah.com/tags/coco-ssd/</link><description>Recent content in Coco-Ssd on Selvam Subbiah</description><generator>Hugo -- 0.154.3</generator><language>en-us</language><lastBuildDate>Wed, 06 Oct 2021 00:00:00 +0000</lastBuildDate><atom:link href="https://selvamsubbiah.com/tags/coco-ssd/index.xml" rel="self" type="application/rss+xml"/><item><title>Image Categorization using Object Detection in TensorFlow.js</title><link>https://selvamsubbiah.com/image-categorization-using-object-detection-in-tensorflow-js/</link><pubDate>Wed, 06 Oct 2021 00:00:00 +0000</pubDate><guid>https://selvamsubbiah.com/image-categorization-using-object-detection-in-tensorflow-js/</guid><description>&lt;p&gt;I have often wondered if I can build a tool that can accept custom queries to filter photos and images based on the items present in the image. There are some popular apps such as Google Photos, OneDrive, etc. which provide this sort of functionality to various degrees but they don’t necessarily let the user enter custom queries to filter images.&lt;/p&gt;
&lt;p&gt;In this article, we will look at utilizing &lt;a href="https://www.tensorflow.org/js" target="_blank" rel="noopener noreferrer"&gt;TensorFlow.js&lt;/a&gt;
pre-trained &lt;a href="https://github.com/tensorflow/tfjs-models/tree/master/coco-ssd" target="_blank" rel="noopener noreferrer"&gt;COCO-SSD object detection model&lt;/a&gt;
to categorize and filter images.&lt;/p&gt;</description></item><item><title>Object Detection using TensorFlow.js</title><link>https://selvamsubbiah.com/object-detection-using-tensorflow-js/</link><pubDate>Fri, 01 Oct 2021 00:00:00 +0000</pubDate><guid>https://selvamsubbiah.com/object-detection-using-tensorflow-js/</guid><description>&lt;p&gt;In this article, we will be building a simple app to detect objects on an image using &lt;a href="https://www.tensorflow.org/js" target="_blank" rel="noopener noreferrer"&gt;TensorFlow.js&lt;/a&gt;
library. To do this we will make use of the TensorFlow.js pre-trained “&lt;strong&gt;&lt;a href="https://github.com/tensorflow/tfjs-models/tree/master/coco-ssd" target="_blank" rel="noopener noreferrer"&gt;coco-ssd&lt;/a&gt;
&lt;/strong&gt;” model.&lt;/p&gt;
&lt;p&gt;&lt;img alt="Object Detection" loading="lazy" src="https://selvamsubbiah.com/object-detection-using-tensorflow-js/images/Object-Detection_Result.png"&gt;&lt;/p&gt;
&lt;p&gt;In this example, user will browse and select an image file to identify objects present in that image. This selected image file is only handled on the client side within the browser and not uploaded to any server.  &lt;/p&gt;</description></item></channel></rss>