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	<title>Pedestrian Detection Using CNN</title>
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		<title>Pedestrian Detection Using CNN</title>
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		<pubDate>Sun, 27 Nov 2022 18:30:13 +0000</pubDate>
				<category><![CDATA[Use Cases]]></category>
		<category><![CDATA[CNN]]></category>
		<category><![CDATA[embeddedML]]></category>
		<category><![CDATA[Microcontroller Machine Learning]]></category>
		<category><![CDATA[Pedestrian]]></category>
		<category><![CDATA[Pedestrian Detection]]></category>
		<category><![CDATA[Pedestrian Detection Using CNN]]></category>
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					<description><![CDATA[<p>Photo by Antonius Setiadi K on Dribbble Pedestrian detection is a subfield of object detection and plays an important role in various applications such as intelligent surveillance systems, person tracking, abnormal-scene detection, and intelligent cars. The objective of this study is to design a convolutional neural network model which can classify images as persons or person-like [&#8230;]</p>
<p>The post <a href="https://www.ai-tech.systems/pedestrian-detection-using-cnn/">Pedestrian Detection Using CNN</a> appeared first on <a href="https://www.ai-tech.systems">AI Technology &amp; Systems</a>.</p>
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