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		<title>Emerging Trends</title>
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		<dc:creator><![CDATA[Amit]]></dc:creator>
		<pubDate>Sat, 25 Jan 2020 04:26:36 +0000</pubDate>
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					<description><![CDATA[<p>Emerging Trends on Computer Vision &#8211; my Insights. Decided to take the plunge into blogging on Computer Vision on the insistence of my wife. It is my first shot at this. So here go my thoughts on Emerging Trends : Recently came across this statistic here for the global Emerging trend on computer vision market revenues. Came by this from here a really cool site to search for datasets for different machine learning applications. The number that was really surprising for me was the rapid revenue growth in the consumer applications between 2018 and 2019 nearly doubling. Having worked in computer vision since 2003, it is surprising how this has changed. Pretty much most of the applications (potentially overhyped) back then were in the security and surveillance area. Working in autonomous driving since the last 3 years this is a big revelation to me. In a way this makes sense as most CV algorithms work in the 75-85% accuracy range. In consumer applications, this is somewhat tolerable especially in the areas of ad-targeting based on demographics, crowd counting type applications. This is in contrast with autonomous vehicles where the accuracy demands are high although computer vision is supported by other sensors there. Also different from the security surveillance applications which have been plagued by high false-positive rates.</p>
<p>The post <a href="https://cvisionresearch.net/blog-emerging-trends/">Emerging Trends</a> appeared first on <a href="https://cvisionresearch.net"></a>.</p>
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										<content:encoded><![CDATA[<span><span><a href="https://cvisionresearch.net/">Home</a></span> - <span><a href="https://cvisionresearch.net/category/blog/">Blog</a></span> - <span class="breadcrumb_last" aria-current="page"><strong>Emerging Trend</strong></span></span>



<h1 class="has-text-align-center wp-block-heading">Emerging Trends on Computer Vision &#8211; my Insights.</h1>



<p></p>



<p></p>



<p>Decided to take the plunge into blogging on Computer Vision on the insistence of my wife. It is my first shot at this. So here go my thoughts on  Emerging Trends :</p>



<p>Recently came across this statistic<strong> <a rel="noreferrer noopener" aria-label="https://www.statista.com/statistics/641922/worldwide-artificial-intelligence-computer-vision-market-revenue (opens in a new tab)" href="https://www.statista.com/statistics/641922/worldwide-artificial-intelligence-computer-vision-market-revenues" target="_blank">here </a></strong>for the global Emerging trend on computer vision market revenues. Came by this from <a rel="noreferrer noopener" aria-label="https://datasetsearch.research.google.com/   (opens in a new tab)" href="http://here" target="_blank"><strong>here</strong></a> a really cool site to search for datasets for different machine learning applications. The number that was really surprising for me was the rapid revenue growth in the consumer applications between 2018 and 2019 nearly doubling. Having worked in computer vision since 2003, it is surprising how this has changed. Pretty much most of the applications (potentially overhyped) back then were in the security and surveillance area. Working in autonomous driving since the last 3 years this is a big revelation to me. In a way this makes sense as most CV algorithms work in the 75-85% accuracy range. In consumer applications, this is somewhat tolerable especially in the areas of ad-targeting based on demographics, crowd counting type applications. This is in contrast with autonomous vehicles where the accuracy demands are high although computer vision is supported by other sensors there. Also different from the security surveillance applications which have been plagued by high false-positive rates. </p>



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<p>The post <a href="https://cvisionresearch.net/blog-emerging-trends/">Emerging Trends</a> appeared first on <a href="https://cvisionresearch.net"></a>.</p>
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