{"id":1505,"date":"2022-10-24T09:47:21","date_gmt":"2022-10-24T09:47:21","guid":{"rendered":"https:\/\/tagon.ai\/?p=1505"},"modified":"2022-10-24T09:47:21","modified_gmt":"2022-10-24T09:47:21","slug":"what-is-data-annotation-and-why-does-it-matter","status":"publish","type":"post","link":"https:\/\/tagon.vn\/vi\/what-is-data-annotation-and-why-does-it-matter\/","title":{"rendered":"What is data annotation and why does it matter?"},"content":{"rendered":"\r\n\r\n&nbsp;\r\n\r\n<img loading=\"lazy\" decoding=\"async\" class=\"size-full wp-image-846 aligncenter\" src=\"https:\/\/tagon.ai\/wp-content\/uploads\/2022\/03\/3D-1.png\" alt=\"\" width=\"448\" height=\"544\" srcset=\"https:\/\/tagon.vn\/wp-content\/uploads\/2022\/03\/3D-1.png 448w, https:\/\/tagon.vn\/wp-content\/uploads\/2022\/03\/3D-1-247x300.png 247w\" sizes=\"auto, (max-width: 448px) 100vw, 448px\" \/>\r\n\r\nDaily life is guided by algorithms. Even the simplest decisions \u2014 an estimated time of arrival from a GPS app or the next song in the streaming queue \u2014 can filter through artificial intelligence and machine learning algorithms. We rely on these algorithms for a number of different reasons which include personalization and efficiency. But their ability to deliver on these promises is dependent on data annotation: the process of accurately labeling datasets to train artificial intelligence to make future decisions. Data annotation is the workhorse behind our algorithm-driven world.\r\n<div id=\"ez-toc-container\" class=\"ez-toc-v2_0_42 counter-hierarchy ez-toc-counter ez-toc-grey ez-toc-container-direction\">\n<div class=\"ez-toc-title-container\">\n<p class=\"ez-toc-title\">Table of Contents<\/p>\n<span class=\"ez-toc-title-toggle\"><a href=\"#\" class=\"ez-toc-pull-right ez-toc-btn ez-toc-btn-xs ez-toc-btn-default ez-toc-toggle\" area-label=\"ez-toc-toggle-icon-1\"><label for=\"item-69f8dc5d51238\" aria-label=\"Table of Content\"><span style=\"display: flex;align-items: center;width: 35px;height: 30px;justify-content: center;direction:ltr;\"><svg style=\"fill: #999;color:#999\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" class=\"list-377408\" width=\"20px\" height=\"20px\" viewBox=\"0 0 24 24\" fill=\"none\"><path d=\"M6 6H4v2h2V6zm14 0H8v2h12V6zM4 11h2v2H4v-2zm16 0H8v2h12v-2zM4 16h2v2H4v-2zm16 0H8v2h12v-2z\" fill=\"currentColor\"><\/path><\/svg><svg style=\"fill: #999;color:#999\" class=\"arrow-unsorted-368013\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"10px\" height=\"10px\" viewBox=\"0 0 24 24\" version=\"1.2\" baseProfile=\"tiny\"><path d=\"M18.2 9.3l-6.2-6.3-6.2 6.3c-.2.2-.3.4-.3.7s.1.5.3.7c.2.2.4.3.7.3h11c.3 0 .5-.1.7-.3.2-.2.3-.5.3-.7s-.1-.5-.3-.7zM5.8 14.7l6.2 6.3 6.2-6.3c.2-.2.3-.5.3-.7s-.1-.5-.3-.7c-.2-.2-.4-.3-.7-.3h-11c-.3 0-.5.1-.7.3-.2.2-.3.5-.3.7s.1.5.3.7z\"\/><\/svg><\/span><\/label><input  type=\"checkbox\" id=\"item-69f8dc5d51238\"><\/a><\/span><\/div>\n<nav><ul class='ez-toc-list ez-toc-list-level-1 ' ><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-1\" href=\"https:\/\/tagon.vn\/vi\/what-is-data-annotation-and-why-does-it-matter\/#What_is_data_annotation\" title=\"What is data annotation?\">What is data annotation?<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-2\" href=\"https:\/\/tagon.vn\/vi\/what-is-data-annotation-and-why-does-it-matter\/#Why_does_it_matter\" title=\"Why does it matter?\">Why does it matter?<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-3\" href=\"https:\/\/tagon.vn\/vi\/what-is-data-annotation-and-why-does-it-matter\/#Contact_information\" title=\"Contact information:\">Contact information:<\/a><\/li><\/ul><\/nav><\/div>\n<h2><span class=\"ez-toc-section\" id=\"What_is_data_annotation\"><\/span><span style=\"color: #015c8f;\">What is data annotation?<\/span><span class=\"ez-toc-section-end\"><\/span><\/h2>\r\nComputers can\u2019t process visual information the way human brains do: A computer needs to be told what it\u2019s interpreting and provide a context in order to make decisions. Data annotation makes those connections. It\u2019s the human-led task of labeling content such as text, audio, images, and video so it can be recognized by machine learning models and used to make predictions.\r\n\r\nData annotation is both a critical and impressive feat when you consider the current rate of data creation. By 2025, an estimated 463 exabytes of data will be created globally on a daily basis, according to The Visual Capitalist \u2014 and that research was done before the COVID-19 pandemic accelerated the role of data in daily interactions. Now, the global data annotation tools market is projected to grow nearly 30% annually over the next six years, according to GM Insights, especially in the automotive, retail, and healthcare sectors.\r\n\r\n<div id=\"attachment_880\" style=\"width: 362px\" class=\"wp-caption aligncenter\"><img loading=\"lazy\" decoding=\"async\" aria-describedby=\"caption-attachment-880\" class=\"size-full wp-image-880\" src=\"https:\/\/tagon.ai\/wp-content\/uploads\/2022\/03\/Segmentation-for-AI-in-Liver-Diagnosis.png\" alt=\"What is data annotation\" width=\"352\" height=\"317\" srcset=\"https:\/\/tagon.vn\/wp-content\/uploads\/2022\/03\/Segmentation-for-AI-in-Liver-Diagnosis.png 352w, https:\/\/tagon.vn\/wp-content\/uploads\/2022\/03\/Segmentation-for-AI-in-Liver-Diagnosis-300x270.png 300w\" sizes=\"auto, (max-width: 352px) 100vw, 352px\" \/><p id=\"caption-attachment-880\" class=\"wp-caption-text\">What is data annotation<\/p><\/div>\r\n<h2><span class=\"ez-toc-section\" id=\"Why_does_it_matter\"><\/span><span style=\"color: #015c8f;\">Why does it matter?<\/span><span class=\"ez-toc-section-end\"><\/span><\/h2>\r\nData is the backbone of the customer experience. How well you know your clients directly impacts the quality of their experiences. As brands gather more and more insight on their customers, AI can help make the data collected actionable. According to Gartner, by 2022, 70% of customer interactions are expected to filter through technologies like machine learning (ML) applications, chatbots and mobile messaging.\r\n\r\n\u201cAI interactions will enhance text, sentiment, voice, interaction, and even traditional survey analysis,\u201d says Gartner vice-president Don Scheibenreif on the analyst firm\u2019s blog. But in order for chatbots and virtual assistants to create seamless customer experiences, brands need to make sure the datasets guiding these decisions are high-quality.\r\n\r\nAs it currently stands, data scientists spend a significant portion of their time preparing data, according to a survey by data science platform Anaconda. Part of that is spent fixing or discarding anomalous\/non-standard pieces of data and making sure measurements are accurate. These are vital tasks, given that algorithms rely heavily on understanding patterns in order to make decisions, and that faulty data can translate into biases and poor predictions by AI.\r\n<h2><span class=\"ez-toc-section\" id=\"Contact_information\"><\/span><span style=\"color: #015c8f;\"><b>Contact information:<\/b><\/span><span class=\"ez-toc-section-end\"><\/span><\/h2>\r\n<b>Website:\u00a0<\/b><a href=\"https:\/\/tagon.ai\/en\" target=\"_blank\" rel=\"noopener\">https:\/\/tagon.ai\/en<\/a>\r\n\r\n<a href=\"https:\/\/www.linkedin.com\/company\/tagon-data-labeling\" target=\"_blank\" rel=\"noopener\"><strong>Linkedin<\/strong>: https:\/\/www.linkedin.com\/company\/tagon-data-labeling<\/a>\r\n\r\n<b>Facebook: <\/b><a href=\"https:\/\/www.facebook.com\/TagOnAi\/\" target=\"_blank\" rel=\"noopener\">https:\/\/www.facebook.com\/TagOnAi\/<\/a>\r\n\r\n<b>Phone number<\/b>: +84 2466 603 178\r\n\r\n<b>Email:<\/b>\u00a0<a href=\"mailto:contact@tagon.ai\">contact@tagon.ai<\/a>\u00a0\/\u00a0<a href=\"mailto:linh.le@tagon.ai\">mailto:linh.le@tagon.ai<\/a>\r\n\r\n","protected":false},"excerpt":{"rendered":"<p>&nbsp; Daily life is guided by algorithms. Even the simplest decisions \u2014 an estimated time of arrival from a GPS app or the next song in the streaming queue \u2014 can filter through artificial intelligence and machine learning algorithms. We rely on these algorithms for a number of different reasons which include personalization and efficiency. [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":673,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"inline_featured_image":false,"footnotes":""},"categories":[8],"tags":[],"class_list":["post-1505","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-blog-vi","type-post-blog"],"acf":[],"_links":{"self":[{"href":"https:\/\/tagon.vn\/vi\/wp-json\/wp\/v2\/posts\/1505","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/tagon.vn\/vi\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/tagon.vn\/vi\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/tagon.vn\/vi\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/tagon.vn\/vi\/wp-json\/wp\/v2\/comments?post=1505"}],"version-history":[{"count":1,"href":"https:\/\/tagon.vn\/vi\/wp-json\/wp\/v2\/posts\/1505\/revisions"}],"predecessor-version":[{"id":1506,"href":"https:\/\/tagon.vn\/vi\/wp-json\/wp\/v2\/posts\/1505\/revisions\/1506"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/tagon.vn\/vi\/wp-json\/wp\/v2\/media\/673"}],"wp:attachment":[{"href":"https:\/\/tagon.vn\/vi\/wp-json\/wp\/v2\/media?parent=1505"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/tagon.vn\/vi\/wp-json\/wp\/v2\/categories?post=1505"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/tagon.vn\/vi\/wp-json\/wp\/v2\/tags?post=1505"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}