{"id":60170,"date":"2023-02-21T15:22:42","date_gmt":"2023-02-21T14:22:42","guid":{"rendered":"https:\/\/www.clickworker.com\/?p=60170"},"modified":"2023-03-06T12:04:14","modified_gmt":"2023-03-06T11:04:14","slug":"applications-of-deep-learning-for-computer-vision","status":"publish","type":"post","link":"https:\/\/www.clickworker.com\/customer-blog\/applications-of-deep-learning-for-computer-vision\/","title":{"rendered":"Applications of Deep Learning for Computer Vision"},"content":{"rendered":"<style>\r\n.faq-snippet.collapsable div h2, .faq-snippet {color: #1d1d1f;} .faq-snippet p { color: #212529;}\r\n<\/style>\r\n<p><img decoding=\"async\" src=\"https:\/\/www.clickworker.com\/wp-content\/uploads\/2021\/10\/computer-vision-deep-learning.png\" alt=\"Deep Learning + Computer Vision\" width=\"800\" class=\"w-100 h-auto rounded size-full wp-image-32478\" \/><\/p>\r\n\r\n<p><a href=\"https:\/\/www.clickworker.com\/ai-glossary\/computer-vision\/\">Computer vision technology<\/a> powered by <a href=\"https:\/\/www.clickworker.com\/ai-glossary\/deep-learning\/\">Deep Learning (DL)<\/a> provides real-world value across industries. Such intelligent technologies have been around for a few years, and it&#8217;s finally coming of age and rising in prominence.  <\/p>\r\n\r\n<p>In fact, computer vision is precisely what makes <a href=\"https:\/\/www.techtarget.com\/searchenterpriseai\/definition\/driverless-car\" target=\"_blank\" rel=\"noopener\">driverless cars<\/a> possible. However, there&#8217;s a myriad of possibilities and use cases, including the augmentation of human sight.<\/p>\r\n\r\n<!--more-->\r\n\r\n<p>The primary objective here is to enable computers to process their environment and understand the world through sight. Whenever machines understand the world around them, they can navigate through it and make better decisions. <\/p>\r\n\r\n<p>But before we discuss applications of deep learning in computer vision, let&#8217;s first define it.<\/p>\r\n\r\n\r\n<blockquote class=\"rounded\" id=\"hidden\">\r\n                    <p class=\"pb-3\"><strong>Table of Contents<\/strong><\/p>\r\n\t\t\t\t    <ul class=\"standardV8styled\">\r\n\t\t\t\t\t<li><a href=\"#deeplearning\">Deep Learning Defined<\/a><\/li>\t\t\t\t\r\n\t\t\t\t\t<li><a href=\"#computervision\">Computer Vision Defined<\/a><\/li>\r\n\t\t\t\t\t<li><a href=\"#challenges\">Challenges for Computer Vision<\/a><\/li>\r\n\t\t\t\t\t<li><a href=\"#data\">Role of Suitable Training Data<\/a><\/li>\r\n\t\t\t\t\t<li><a href=\"#healthcare\">Deep Learning-Powered Computer Vision in Healthcare<\/a><\/li>\r\n\t\t\t\t\t<li><a href=\"#retail\">Deep Learning-Powered Computer Vision in Retail<\/a><\/li>\r\n\t\t\t\t\t<li><a href=\"#automative\">Deep Learning-Powered Computer Vision in the Automotive Industry<\/a><\/li>\r\n\t\t\t\t\t<li><a href=\"#conclusion\">Conclusion<\/a><\/li>\r\n\t\t\t\t\t<li><a href=\"#faq\">FAQs<\/a><\/li>\r\n\t\t\t\t\t<\/ul>\t\t\t\r\n<\/blockquote>\r\n\r\n<h2 id=\"deeplearning\">Deep Learning Defined<\/h2>\r\n<p><a href=\"https:\/\/www.clickworker.com\/ai-glossary\/deep-learning\/\">Deep Learning<\/a>, or DL, is a type of <a href=\"https:\/\/www.clickworker.com\/ai-glossary\/artificial-intelligence\/\">Artificial Intelligence (AI)<\/a> and <a href=\"https:\/\/www.clickworker.com\/ai-glossary\/machine-learning\/\">Machine Learning (ML)<\/a> that mimics how humans learn in certain situations. It&#8217;s also a critical element of data science, including predictive modeling and statistics.<\/p>\r\n\r\n<p>There are three different types of DL and ML used to train algorithms:<\/p>\r\n<ol>\r\n<li><a href=\"https:\/\/www.clickworker.com\/ai-glossary\/supervised-learning\/\">Supervised learning<\/a><\/li>\r\n<li><a href=\"https:\/\/www.clickworker.com\/ai-glossary\/unsupervised-learning\/\">Unsupervised learning<\/a><\/li>\r\n<li><a href=\"https:\/\/www.geeksforgeeks.org\/what-is-reinforcement-learning\/\" target=\"_blank\" rel=\"noopener\">Reinforcement learning<\/a><\/li>\r\n<\/ol>\r\n\r\n<p>The goal here is to leverage intelligent algorithms to facilitate complete automation and minimize human intervention. As such, DL is at the heart of innovations that strive to achieve human-level performance or even try to do better than that.<\/p>\r\n\r\n<p><strong>Deep Learning<\/strong><\/p>\r\n<div class=\"row\"><div class=\"col-12 col-lg-8 mx-auto\"><div class=\"lyte-wrapper\" title=\"Learn More About Data Interoperability\" style=\"width:420px;max-width:100%;margin:5px;\"><div class=\"lyMe\" id=\"WYL_6PlDvamYVw4\" itemprop=\"video\" itemscope itemtype=\"https:\/\/schema.org\/VideoObject\"><div><meta itemprop=\"thumbnailUrl\" content=\"https:\/\/www.clickworker.com\/wp-content\/plugins\/wp-youtube-lyte\/lyteCache.php?origThumbUrl=https%3A%2F%2Fi.ytimg.com%2Fvi%2F6PlDvamYVw4%2Fhqdefault.jpg\" \/><meta itemprop=\"embedURL\" content=\"https:\/\/www.youtube.com\/embed\/6PlDvamYVw4\" \/><meta itemprop=\"duration\" content=\"PT1M13S\" \/><meta itemprop=\"uploadDate\" content=\"2018-04-16T17:35:03Z\" \/><\/div><meta itemprop=\"accessibilityFeature\" content=\"captions\" \/><div id=\"lyte_6PlDvamYVw4\" data-src=\"https:\/\/www.clickworker.com\/wp-content\/plugins\/wp-youtube-lyte\/lyteCache.php?origThumbUrl=https%3A%2F%2Fi.ytimg.com%2Fvi%2F6PlDvamYVw4%2Fhqdefault.jpg\" class=\"pL\"><div class=\"tC\"><div class=\"tT\" itemprop=\"name\">Learn More About Data Interoperability<\/div><\/div><div class=\"play\"><\/div><div class=\"ctrl\"><div class=\"Lctrl\"><\/div><div class=\"Rctrl\"><\/div><\/div><\/div><noscript><a href=\"https:\/\/youtu.be\/6PlDvamYVw4\" rel=\"nofollow\"><img decoding=\"async\" src=\"https:\/\/www.clickworker.com\/wp-content\/plugins\/wp-youtube-lyte\/lyteCache.php?origThumbUrl=https%3A%2F%2Fi.ytimg.com%2Fvi%2F6PlDvamYVw4%2F0.jpg\" alt=\"Learn More About Data Interoperability\" width=\"420\" height=\"216\" \/><br \/>Watch this video on YouTube<\/a><\/noscript><meta itemprop=\"description\" content=\"Join the League of Innovative Schools in the movement to advance data interoperability in public education. Visit us at http:\/\/digitalpromise.org\/di. Subscribe to Digital Promise on YouTube \u25ba\u25ba\u00a0https:\/\/bit.ly\/2G2U2ax\u00a0 ABOUT DIGITAL PROMISE Digital Promise is a nonprofit organization that builds powerful networks and takes on grand challenges by working at the intersection of researchers, entrepreneurs, and educators. Our vision is that all people, at every stage of their lives, have access to learning experiences that help them acquire the knowledge and skills they need to thrive and continuously learn in an ever-changing world. For more information, visit\u00a0http:\/\/digitalpromise.org\/\u00a0and follow @digitalpromise on Twitter for updates.\"><\/div><\/div><div class=\"lL\" style=\"max-width:100%;width:420px;margin:5px;\"><\/div><\/div><\/div>\r\n\r\n<h2 id=\"computervision\">Computer Vision Defined<\/h2>\r\n<p><a href=\"https:\/\/www.clickworker.com\/ai-glossary\/computer-vision\/\">Computer vision<\/a> is the field in AI that concentrates on enabling machines or computers to see. This means identifying and processing images just like humans do and provide an appropriate output.<\/p>\r\n\r\n<p>In a way, it&#8217;s like you&#8217;re equipping a machine with human instincts and intelligence. However, it&#8217;s a massive challenge as it&#8217;s pretty difficult to get computers to recognize different images of objects and people.<\/p>\r\n\r\n<p>Modern computer vision applications depend on the following capabilities and technologies:<\/p>\r\n<ul>\r\n<li>Object classification (to assign objects in videos or photographs)<\/li>\r\n<li>Object localization to locate an object within an image (by drawing bounding boxes around it)<\/li>\r\n<li>Semantic segmentation (to better understand every pixel and associate a class label to it)<\/li>\r\n<li>Instance segmentation for semantic segmentation (and identify multiple instances of the same class)<\/li>\r\n<\/ul>\r\n\r\n<p>When companies successfully power machines with computer vision, the computer will correctly interpret what it sees, perform an analysis, and act accordingly.<\/p>\r\n\r\n<p><strong>Computer Vision<\/strong><\/p>\r\n<div class=\"row\"><div class=\"col-12 col-lg-8 mx-auto\"><div class=\"lyte-wrapper\" title=\"How Computer Vision Works\" style=\"width:420px;max-width:100%;margin:5px;\"><div class=\"lyMe\" id=\"WYL_OcycT1Jwsns\" itemprop=\"video\" itemscope itemtype=\"https:\/\/schema.org\/VideoObject\"><div><meta itemprop=\"thumbnailUrl\" content=\"https:\/\/www.clickworker.com\/wp-content\/plugins\/wp-youtube-lyte\/lyteCache.php?origThumbUrl=https%3A%2F%2Fi.ytimg.com%2Fvi%2FOcycT1Jwsns%2Fhqdefault.jpg\" \/><meta itemprop=\"embedURL\" content=\"https:\/\/www.youtube.com\/embed\/OcycT1Jwsns\" \/><meta itemprop=\"duration\" content=\"PT7M8S\" \/><meta itemprop=\"uploadDate\" content=\"2018-04-19T19:43:59Z\" \/><\/div><meta itemprop=\"accessibilityFeature\" content=\"captions\" \/><div id=\"lyte_OcycT1Jwsns\" data-src=\"https:\/\/www.clickworker.com\/wp-content\/plugins\/wp-youtube-lyte\/lyteCache.php?origThumbUrl=https%3A%2F%2Fi.ytimg.com%2Fvi%2FOcycT1Jwsns%2Fhqdefault.jpg\" class=\"pL\"><div class=\"tC\"><div class=\"tT\" itemprop=\"name\">How Computer Vision Works<\/div><\/div><div class=\"play\"><\/div><div class=\"ctrl\"><div class=\"Lctrl\"><\/div><div class=\"Rctrl\"><\/div><\/div><\/div><noscript><a href=\"https:\/\/youtu.be\/OcycT1Jwsns\" rel=\"nofollow\"><img decoding=\"async\" src=\"https:\/\/www.clickworker.com\/wp-content\/plugins\/wp-youtube-lyte\/lyteCache.php?origThumbUrl=https%3A%2F%2Fi.ytimg.com%2Fvi%2FOcycT1Jwsns%2F0.jpg\" alt=\"How Computer Vision Works\" width=\"420\" height=\"216\" \/><br \/>Watch this video on YouTube<\/a><\/noscript><meta itemprop=\"description\" content=\"The Google Cloud Vision and Video Intelligence APIs give you access to a pre-trained machine learning model with a single REST API request. But what do those pre-trained models look like behind the scenes? In this video we&#039;ll uncover the magic of computer vision models by breaking down how Convolutional Neural Nets work under the hood, and we&#039;ll end with a live demo of the Vision API. Learn more here! How CNNs work \u2192 https:\/\/goo.gl\/W51CGk How RNNs work \u2192 https:\/\/goo.gl\/I7RChj Cloud Vision API \u2192 http:\/\/goo.gle\/2ND7eMP Cloud Video Intelligence API \u2192 http:\/\/goo.gle\/3t7lTQP Subscribe to the Google Cloud Platform channel \u2192 https:\/\/goo.gl\/S0AS51\"><\/div><\/div><div class=\"lL\" style=\"max-width:100%;width:420px;margin:5px;\"><\/div><\/div><\/div>\r\n\r\n<h2 id=\"challenges\">Challenges in Computer Vision<\/h2>\r\n<p>Despite recent considerable advancements in computer vision, there are still a number of fundamental problems that need to be resolved.<\/p>\r\n<ul><li>Positioning of objects is one of them. AI must to be able to locate objects in addition to classifying them. To meet the needs of real-time video processing, algorithms also need to recognize objects very quickly.<\/li>\r\n\r\n<li>Weak planning for building the ML model that is deployed for the computer vision system may present another difficulty. Executives frequently set goals during the planning stage that are too lofty for the data science team to meet.<\/li>\r\n\r\n<li>Applications for computer vision use both software algorithms and hardware technologies in a two-pronged architecture (cameras and often IoT sensors). You have failure in implementation\u00a0if the latter is improperly configured.<\/li><\/ul>\r\n\r\n<h2 id=\"data\">Role of Suitable Training Data<\/h2>\r\n<p>Regardless of the use case and the tools you use, the success of your application depends on the AI training <a href=\"https:\/\/www.clickworker.com\/ai-datasets-for-machine-learning\/\">datasets for machine learning<\/a>. The better the data, the better the chance of developing a successful Deep learning-driven computer vision application.<\/p>\r\n\r\n<p>In this case, the training data that intelligent algorithms use to learn must be all-inclusive, comprehensive, and representative of the planet we live on. It&#8217;s critical because the more machines can accurately recognize the world around them, the lower the chance of error.<\/p>\r\n\r\n<blockquote class=rounded><p class=\"pb-3\"><strong>Tip:<\/strong><\/p><p class=\"pb-3\">Training Data is available from clickworker in all quantities and in high quality to train your deep learning system optimally<\/p><a href=\"https:\/\/www.clickworker.com\/ai-datasets-for-machine-learning\/\" class=\"btn btn-primary\" role=\"button\">More about Datasets for Machine Learning<\/a><\/blockquote>\r\n\r\n<h2 id=\"healthcare\">Deep Learning-Powered Computer Vision in Healthcare<\/h2>\r\n<p>The healthcare sector has consistently been at the cutting-edge of technology. This approach helps the industry consistently innovate and provide better care for patients. So it&#8217;s no surprise to find computer vision technology in the healthcare vertical.<\/p>\r\n\r\n<p>Healthcare computer vision has several use cases. These include COVID-19 diagnosis, cancer detections, cell classification, mask detection, and more.<\/p>\r\n\r\n<p>For example, researchers at <a href=\"https:\/\/news.mit.edu\/2021\/artificial-intelligence-tool-can-help-detect-melanoma-0402\" target=\"_blank\" rel=\"noopener\">MIT<\/a> were able to leverage deep convolutional neural networks and devise a system that quickly analyzes wide-field images of the patient&#8217;s skin to detect skin cancer efficiently.<\/p>\r\n\r\n<p>Furthermore, as DL has seen considerable success in computer vision, it enables the automated processing of medical images. This approach helps doctors diagnose COVID-19 and better understand how the disease evolves.<\/p>\r\n\r\n<h2 id=\"retail\">Deep Learning-Powered Computer Vision in Retail<\/h2>\r\n<p>E-commerce giants like Amazon have consistently analyzed customer behavior on their platform for years. This approach helps the companies deliver enhanced user experiences.<\/p>\r\n\r\n<p>Although physical retail stores have wanted to do the same and optimize in-store experiences, it wasn&#8217;t possible until now. Today, we have tools powered by DL and computer vision that automatically capture how customers interact with displayed items.<\/p>\r\n\r\n<p>When used with <a href=\"https:\/\/www.clickworker.com\/customer-blog\/how-face-detection-works\/\">face detection<\/a> tools, intelligent algorithms can quickly evaluate the customer&#8217;s gender, age group, emotions, and more. When used together with footfall counters and security cameras, you can also track customer behavior within a store.<\/p>\r\n\r\n<p>By being alert to dwell areas and browsing patterns, retailers can identify new opportunities to boost sales and revenue. The insights gained from this data may also lead management to rearrange the store, offer product recommendations, and more. Store owners can also use the same tools to track staff movement and productivity (for example, reassign staff to areas where they are needed the most).<\/p>\r\n\r\n<p>Computer vision can also help enhance and optimize <a href=\"https:\/\/www.youtube.com\/watch?v=lEWFmKI5RYY\" target=\"_blank\" rel=\"noopener\">self-checkouts<\/a>, real-time inventory management, and make recommendations using virtual mirrors (for example the <a href=\"https:\/\/www.youtube.com\/watch?v=gc-lzjvaaXM\" target=\"_blank\" rel=\"noopener\">Bourjois Magic Mirror)<\/a>.<\/p>\r\n\r\n<p>Other benefits of computer vision in retail include:<\/p>\r\n<ul>\r\n<li>Discovering marketing and promotional opportunities (for example, in dwell areas)<\/li>\r\n<li>Enforcing of social distancing protocols<\/li>\r\n<li>Productivity analytics (tracking how staff spend their time and resources)<\/li>\r\n<li>Quality assurance and management<\/li>\r\n<li>Real-time theft detection<\/li>\r\n<li>Skills training<\/li>\r\n<li>Wait time analytics (including queue detection)<\/li>\r\n<\/ul>\r\n\r\n<p>When all this comes together perfectly, you&#8217;ll have a high-performing store with satisfied customers.<\/p>\r\n\r\n<h2 id=\"automative\">Deep Learning-Powered Computer Vision in the Automotive Industry<\/h2>\r\n\r\n<p><strong>Computer Vision in Automotive Industry<\/strong><\/p>\r\n<div class=\"row\"><div class=\"col-12 col-lg-8 mx-auto\"><div class=\"lyte-wrapper\" title=\"Computer Vision in Automotive Industry | AI based technology in Automotive Industry\" style=\"width:420px;max-width:100%;margin:5px;\"><div class=\"lyMe\" id=\"WYL_gAchiaeefxA\" itemprop=\"video\" itemscope itemtype=\"https:\/\/schema.org\/VideoObject\"><div><meta itemprop=\"thumbnailUrl\" content=\"https:\/\/www.clickworker.com\/wp-content\/plugins\/wp-youtube-lyte\/lyteCache.php?origThumbUrl=https%3A%2F%2Fi.ytimg.com%2Fvi%2FgAchiaeefxA%2Fhqdefault.jpg\" \/><meta itemprop=\"embedURL\" content=\"https:\/\/www.youtube.com\/embed\/gAchiaeefxA\" \/><meta itemprop=\"duration\" content=\"PT4M10S\" \/><meta itemprop=\"uploadDate\" content=\"2022-07-04T11:03:57Z\" \/><\/div><div id=\"lyte_gAchiaeefxA\" data-src=\"https:\/\/www.clickworker.com\/wp-content\/plugins\/wp-youtube-lyte\/lyteCache.php?origThumbUrl=https%3A%2F%2Fi.ytimg.com%2Fvi%2FgAchiaeefxA%2Fhqdefault.jpg\" class=\"pL\"><div class=\"tC\"><div class=\"tT\" itemprop=\"name\">Computer Vision in Automotive Industry | AI based technology in Automotive Industry<\/div><\/div><div class=\"play\"><\/div><div class=\"ctrl\"><div class=\"Lctrl\"><\/div><div class=\"Rctrl\"><\/div><\/div><\/div><noscript><a href=\"https:\/\/youtu.be\/gAchiaeefxA\" rel=\"nofollow\"><img decoding=\"async\" src=\"https:\/\/www.clickworker.com\/wp-content\/plugins\/wp-youtube-lyte\/lyteCache.php?origThumbUrl=https%3A%2F%2Fi.ytimg.com%2Fvi%2FgAchiaeefxA%2F0.jpg\" alt=\"Computer Vision in Automotive Industry | AI based technology in Automotive Industry\" width=\"420\" height=\"216\" \/><br \/>Watch this video on YouTube<\/a><\/noscript><meta itemprop=\"description\" content=\"With the increase in automobiles on the road, the competition is rising as well. Each company is striving to produce better cars. Moreover, they have quantity in their focus too. In 2019, near to 92 million vehicles were produced worldwide. But with such a large number of automobiles in production, the chances of production errors have increased. So how can you resolve this issue? Computer vision is helping some of the leading automotive industries to do that. But what is this technology? How is it helping the industry? And how can it be used? If you have all these questions, then you simply need to read this article to get the answers! Learn more about Computer Vision in Automotive Industry here:- https:\/\/www.cronj.com\/blog\/computer-vision-in-automotive-industry-a-guide\/ #computervision #automotiveindustry #ai #cronj Machine vision is widely used across many industries starting from healthcare to retail. Want computer vision technology for your firm too? Then you\u2019re one step away from doing that. Reach out to us and we can create the best solution for you! Contact Us:- https:\/\/www.cronj.com\/contact-us.html - - - - - - - - - - LinkedIn: https:\/\/linkedin.com\/company\/cron-j Facebook: https:\/\/www.facebook.com\/CronJ\/ Twitter: https:\/\/twitter.com\/cron_j YouTube: https:\/\/www.youtube.com\/c\/CronJIT\/ - - - - - - - - - - Subscribe to this channel to stay up-to-date with CronJ Technologies. - - - - - - - - - -\"><\/div><\/div><div class=\"lL\" style=\"max-width:100%;width:420px;margin:5px;\"><\/div><\/div><\/div>\r\n\r\n<p>We can&#8217;t really talk about DL, ML, and computer vision without discussing the automotive industry. Companies have been working on <a href=\"https:\/\/aihub.org\/2020\/09\/10\/the-role-of-computer-vision-in-autonomous-vehicles\/\" target=\"_blank\" rel=\"noopener\">autonomous vehicles<\/a> for decades, but self-driving cars were far from reality until recently. Today, it&#8217;s probably the only application of computer vision that has received the most media attention.<\/p>\r\n\r\n<p>Although autonomous cars have ML algorithms packed into them, it&#8217;s computer vision that makes safe driving possible. In this scenario, the &#8220;agent&#8221; algorithm that controls the motor vehicles is always aware of the car&#8217;s environment.<\/p>\r\n\r\n<p>By &#8220;seeing&#8221; the road, other vehicles in the vicinity, and the distance between potential objects and obstacles, it&#8217;s able to make calculations and adapt to its continuously changing environment.<\/p>\r\n\r\n<p>You can also find DL and computer vision in the transportation sector in the following AI-powered protocols:<\/p>\r\n<ul>\r\n<li>Automated license plate recognition<\/li>\r\n<li>Collision avoidance systems<\/li>\r\n<li>Distracted driving<\/li>\r\n<li>Driver attentiveness detection<\/li>\r\n<li>Infrastructure condition assessment<\/li>\r\n<li>Moving violations detection<\/li>\r\n<li>Parking occupancy detection<\/li>\r\n<li>Pedestrian detection<\/li>\r\n<li>Road condition monitoring<\/li>\r\n<li>Traffic flow analysis<\/li>\r\n<li>Traffic sign detection<\/li>\r\n<li>Vehicle classification<\/li>\r\n<li>Vehicle re-identification<\/li>\r\n<\/ul>\r\n\r\n<p>Top tools used for computer vision include:<\/p>\r\n<ul>\r\n<li>Amazon Rekognition<\/li>\r\n<li>CUDA<\/li>\r\n<li>MATLAB<\/li>\r\n<li>OpenCV<\/li>\r\n<li>SimpleCV<\/li>\r\n<li>TensorFlow<\/li>\r\n<\/ul>\r\n\r\n<h2 id=\"conclusion\">Conclusion<\/h2>\r\n<p>A wide range of practical issues can be resolved and several processes in the fields of healthcare, sports, transportation, retail, manufacturing, etc. can be made simpler using deep learning for computer vision, which is an incredibly promising study field.<\/p>\r\n\r\n<section>\t\r\n<div class=\"container\">\r\n\t\t\t<h2 id=\"faq\">\r\n\t\t\t<strong>FAQs on Applications of Deep Learning for Computer Vision<\/strong><\/h2>\t\t\t\r\n\t\t\t<div id=\"faqAutonomousFarming\">\r\n\t\t\t\t<div class=\"row\">\r\n\t\t\t\t\t\t<div class=\"col-lg-12\">\r\n\t\t\t\t\t\t\t\t\t<section class=\"sc_fs_faq sc_card card faq-snippet collapsable\">\n\t\t\t<div>\n\t\t\t\t<h2>What do modern computer vision applications depend on?<\/h2>\t\t\t\t<div>\n\t\t\t\t\t\t\t\t\t\t<p>\n\t\t\t\t\t\t<p>Modern computer vision applications depend on the following capabilities and technologies:<\/p><ul><li>Object classification (to assign objects in videos or photographs)<\/li>\r\n\t\t\t\t\t\t\t\t<li>Object localization to locate an object within an image (by drawing bounding boxes around it)<\/li>\r\n\t\t\t\t\t\t\t\t<li>Semantic segmentation (to better understand every pixel and associate a class label to it)<\/li>\r\n\t\t\t\t\t\t\t\t<li>Instance segmentation for semantic segmentation (and identify multiple instances of the same class)<\/li>\r\n\t\t\t\t\t\t\t\t<\/ul>\t\t\t\t\t<\/p>\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"sc_fs_faq sc_card card faq-snippet collapsable\">\n\t\t\t<div>\n\t\t\t\t<h2>What is the importance of proper training data?<\/h2>\t\t\t\t<div>\n\t\t\t\t\t\t\t\t\t\t<p>\n\t\t\t\t\t\tThe training data that intelligent algorithms use to learn must be all-inclusive, comprehensive, and representative of the planet we live on. It\u2019s critical because the more machines can accurately recognize the world around them, the lower the chance of error.\t\t\t\t\t<\/p>\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"sc_fs_faq sc_card card faq-snippet collapsable\">\n\t\t\t<div>\n\t\t\t\t<h2>How is Deep Learning and computer vision used in the transportation sector?<\/h2>\t\t\t\t<div>\n\t\t\t\t\t\t\t\t\t\t<p>\n\t\t\t\t\t\t<ul><li>Automated license plate recognition<\/li>\r\n\t\t\t\t\t\t\t\t<li>Collision avoidance systems<\/li>\r\n\t\t\t\t\t\t\t\t<li>Distracted driving<\/li>\r\n\t\t\t\t\t\t\t\t<li>Driver attentiveness detection<\/li>\r\n\t\t\t\t\t\t\t\t<li>Infrastructure condition assessment<\/li><\/ul>\t\t\t\t\t<\/p>\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t<\/section>\n\t\t\n<script type=\"application\/ld+json\">\n\t{\n\t\t\"@context\": \"https:\/\/schema.org\",\n\t\t\"@type\": \"FAQPage\",\n\t\t\"mainEntity\": [\n\t\t\t\t\t{\n\t\t\t\t\"@type\": \"Question\",\n\t\t\t\t\"name\": \"What do modern computer vision applications depend on?\",\n\t\t\t\t\"acceptedAnswer\": {\n\t\t\t\t\t\"@type\": \"Answer\",\n\t\t\t\t\t\"text\": \"<p>Modern computer vision applications depend on the following capabilities and technologies:<\/p><ul><li>Object classification (to assign objects in videos or photographs)<\/li><li>Object localization to locate an object within an image (by drawing bounding boxes around it)<\/li><li>Semantic segmentation (to better understand every pixel and associate a class label to it)<\/li><li>Instance segmentation for semantic segmentation (and identify multiple instances of the same class)<\/li><\/ul>\"\n\t\t\t\t\t\t\t\t\t}\n\t\t\t}\n\t\t\t,\t\t\t\t{\n\t\t\t\t\"@type\": \"Question\",\n\t\t\t\t\"name\": \"What is the importance of proper training data?\",\n\t\t\t\t\"acceptedAnswer\": {\n\t\t\t\t\t\"@type\": \"Answer\",\n\t\t\t\t\t\"text\": \"The training data that intelligent algorithms use to learn must be all-inclusive, comprehensive, and representative of the planet we live on. It\u2019s critical because the more machines can accurately recognize the world around them, the lower the chance of error.\"\n\t\t\t\t\t\t\t\t\t}\n\t\t\t}\n\t\t\t,\t\t\t\t{\n\t\t\t\t\"@type\": \"Question\",\n\t\t\t\t\"name\": \"How is Deep Learning and computer vision used in the transportation sector?\",\n\t\t\t\t\"acceptedAnswer\": {\n\t\t\t\t\t\"@type\": \"Answer\",\n\t\t\t\t\t\"text\": \"<ul><li>Automated license plate recognition<\/li><li>Collision avoidance systems<\/li><li>Distracted driving<\/li><li>Driver attentiveness detection<\/li><li>Infrastructure condition assessment<\/li><\/ul>\"\n\t\t\t\t\t\t\t\t\t}\n\t\t\t}\n\t\t\t\t\t\t]\n\t}\n<\/script>\n\r\n\t\t\t\t\t<\/div>\r\n\t\t\t\t<\/div>\r\n\t\t\t<\/div>\r\n\t\t\t<\/div>\r\n<\/section>\r\n<script>\r\njQuery( document ).ready(function() {\r\n\tjQuery(window).scroll(function(){\r\n\t\tif(jQuery(this).scrollTop() >= jQuery('#deeplearning').offset().top - 200) {\r\n\t\t  jQuery('.toc-sidebar').fadeIn(100);\r\n\t\t} else if(jQuery(this).scrollTop() < jQuery('#deeplearning').offset().top + 200) {\r\n\t\t\tjQuery('.toc-sidebar').fadeOut(100);\r\n\t\t}\r\n\t});\r\n});\r\n\r\n<\/script>\r\n\r\n\r\n<p>&nbsp;<\/p>","protected":false},"excerpt":{"rendered":"<p>Computer vision technology powered by Deep Learning (DL) provides real-world value across industries. Such intelligent technologies have been around for a few years, and it&#8217;s finally coming of age and rising in prominence. In fact, computer vision is precisely what makes driverless cars possible. However, there&#8217;s a myriad of possibilities and use cases, including the [&hellip;]<\/p>\n","protected":false},"author":59,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[825,716],"tags":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v21.5 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Applications of Deep Learning for Computer Vision<\/title>\n<meta name=\"description\" content=\"Computer vision is precisely what makes driver-less cars possible. 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