{"id":52524,"date":"2019-11-10T00:00:00","date_gmt":"2019-11-09T21:00:00","guid":{"rendered":"https:\/\/prohoster.info\/blog\/blog_prohoster\/ibm-watson-visual-recognition-funktsiya-raspoznavaniya-obektov-teper-dostupna-v-ibm-cloud"},"modified":"2020-02-18T14:00:16","modified_gmt":"2020-02-18T11:00:16","slug":"ibm-watson-visual-recognition-funktsiya-raspoznavaniya-obektov-teper-dostupna-v-ibm-cloud","status":"publish","type":"post","link":"https:\/\/prohoster.info\/da\/blog\/administrirovanie\/ibm-watson-visual-recognition-funktsiya-raspoznavaniya-obektov-teper-dostupna-v-ibm-cloud","title":{"rendered":"IBM Watson Visual Recognition: objektgenkendelsesfunktionen er nu tilg\u00e6ngelig i IBM Cloud","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"<p><img decoding=\"async\" alt=\"IBM Watson Visual Recognition: objektgenkendelsesfunktionen er nu tilg\u00e6ngelig i IBM Cloud\" src=\"\/wp-content\/uploads\/2019\/11\/f4f61b327ab9f1bcb3dcf3bbaad02de6.jpg\" style=\"display:block;margin: 0 auto;\" \/><br \/>\n<br \/>\nIndtil for nylig blev IBM Watson Visual Recognition hovedsageligt brugt til billedgenkendelse som en helhed. Men at arbejde med et billede som en enhed er langt fra den mest korrekte tilgang. Nu, takket v\u00e6re den nye funktion <b>objekgenkendelse<\/b>, har brugerne af IBM Watson f\u00e5et mulighed for at tr\u00e6ne modeller p\u00e5 billeder med m\u00e6rkede objekter til efterf\u00f8lgende genkendelse p\u00e5 enhver ramme. <\/p>\n<p>Lad os vise, hvordan dette nu kan g\u00f8res.<br \/>\n<noindex><a rel=\"nofollow\" name=\"habracut\"><\/a><\/noindex><br \/>\nHvis du tidligere med IBM Watson kunne skelne mellem en beskadiget og en ubeskadiget bil, kan du nu ikke blot identificere tilstedev\u00e6relsen af skader, men ogs\u00e5 vurdere deres placering og st\u00f8rrelse. Denne tilgang er langt mere informativ og muligg\u00f8r forudsigelser om omkostningerne ved den n\u00f8dvendige reparation.<br \/>\nSelvf\u00f8lgelig er listen over anvendelsesmuligheder for denne funktion meget bredere end blot at kontrollere en bils integritet. Nu kan du bruge Watson Visual Recognition til:<\/p>\n<ul>\n<li>At t\u00e6lle antallet af mennesker i k\u00f8er eller biler i trafik<\/li>\n<li>At identificere varer p\u00e5 hylderne i butikkerne<\/li>\n<li>At genkende logoer p\u00e5 fotografier<\/li>\n<li>At analysere CT- og MR-billeder for afvigelser<\/li>\n<li>Andre opgaver relateret til arbejdet med specifikke objekter p\u00e5 billederne<\/li>\n<\/ul>\n<p>\nDu beh\u00f8ver ikke bruge m\u00e5neder p\u00e5 at udv\u00e6lge og m\u00e6rke data \u2013 vores model er allerede tr\u00e6net p\u00e5 flere millioner pr\u00f8ver og sikrer en tilstr\u00e6kkelig h\u00f8j kvalitet af forudsigelser uden \u00e6ndringer. Om n\u00f8dvendigt kan du altid finjustere den, s\u00e5 neurale netv\u00e6rk er tilpasset din specifikke branche.<\/p>\n<h3>M\u00e6rk billeder og tr\u00e6n modellen p\u00e5 dine data hurtigere med Watson Studio<\/h3>\n<p>\nNormalt er det at tr\u00e6ne din egen model til pr\u00e6cis genkendelse af objekter den mest udfordrende opgave ved oprettelsen af et computersynssystem. Watson Studio fremskynder denne proces og hj\u00e6lper med at reducere tiden ved arbejde med store datam\u00e6ngder. I forbindelse med det gratis till\u00e6g <b>Auto Label<\/b> kan du hurtigt m\u00e6rke alle billeder i datas\u00e6ttet.<\/p>\n<h3>Getting Started<\/h3>\n<p>\nEfter aktivering og oprettelse af Visual Recognition-applikationen i skyen, skal du forbinde den til Watson Studio og oprette en model i vinduet Detect Objects under sektionen Custom Models.<\/p>\n<p><img decoding=\"async\" alt=\"IBM Watson Visual Recognition: objektgenkendelsesfunktionen er nu tilg\u00e6ngelig i IBM Cloud\" src=\"\/wp-content\/uploads\/2019\/11\/d70042962a7b918d154c1dcb9ef47d80.jpg\" style=\"display:block;margin: 0 auto;\" \/><br \/>\n<br \/>\nUpload your unlabeled data to Watson Studio (you can use JPEG, PNG, or a ZIP archive containing these images)<\/p>\n<p><img decoding=\"async\" alt=\"IBM Watson Visual Recognition: objektgenkendelsesfunktionen er nu tilg\u00e6ngelig i IBM Cloud\" src=\"\/wp-content\/uploads\/2019\/11\/806890a6b5a77ddc32a1bb59674554d0.jpg\" style=\"display:block;margin: 0 auto;\" \/><br \/>\n<br \/>\nSelect an image, highlight the object you want to recognize, give it a name, and save it. Repeat until you highlight all necessary objects in this image.<br \/>\n<img decoding=\"async\" alt=\"IBM Watson Visual Recognition: objektgenkendelsesfunktionen er nu tilg\u00e6ngelig i IBM Cloud\" src=\"\/wp-content\/uploads\/2019\/11\/9b2a798b0913e5e4708e7ae00fe30c46.jpg\" style=\"display:block;margin: 0 auto;\" \/><br \/>\n<br \/>\nOnce you label several images, you can train and test your model.<\/p>\n<p><img decoding=\"async\" alt=\"IBM Watson Visual Recognition: objektgenkendelsesfunktionen er nu tilg\u00e6ngelig i IBM Cloud\" src=\"\/wp-content\/uploads\/2019\/11\/f4aba28c11d0fefd187afdff96faea14.jpg\" style=\"display:block;margin: 0 auto;\" \/><br \/>\n<br \/>\nYou can also add more images to improve the quality of the model using the Auto Label feature, which will help you label all your data. To use this feature, select all necessary images and click the 'Auto Label' button for Watson to automatically label the data according to the specified categories.<\/p>\n<p><img decoding=\"async\" alt=\"IBM Watson Visual Recognition: objektgenkendelsesfunktionen er nu tilg\u00e6ngelig i IBM Cloud\" src=\"\/wp-content\/uploads\/2019\/11\/103cf33f9deb75bff5b6dbb6bf5cf54f.jpg\" style=\"display:block;margin: 0 auto;\" \/><br \/>\n<br \/>\nAfter checking the accuracy of your model, you can integrate the finished solution into your product.<\/p>\n<p><img decoding=\"async\" alt=\"IBM Watson Visual Recognition: objektgenkendelsesfunktionen er nu tilg\u00e6ngelig i IBM Cloud\" src=\"\/wp-content\/uploads\/2019\/11\/b36d2354e3e9b32fa3baa6970d977550.jpg\" style=\"display:block;margin: 0 auto;\" \/><br \/>\n<br \/>\n<b><noindex><a rel=\"nofollow\" href=\"https:\/\/ibm.biz\/rucloud\">Try<\/a><\/noindex><\/b> object recognition with IBM Watson Visual Recognition for free today!<\/p>\n<p>We also want to invite you to free training seminars on <noindex><a rel=\"nofollow\" href=\"https:\/\/ibmdbg.timepad.ru\/event\/1104167\/\">IBM Watson Studio<\/a><\/noindex> og <noindex><a rel=\"nofollow\" href=\"https:\/\/ibmdbg.timepad.ru\/event\/1104177\/\">Visual Recognition on IBM Cloud<\/a><\/noindex>, held in November at the client center of our Moscow office.<\/p>\n<h4>Additional materials:<\/h4>\n<p><\/p>\n<ul>\n<li><noindex><a rel=\"nofollow\" href=\"https:\/\/youtu.be\/3gxMBtvsRFo\">Video tutorial<\/a><\/noindex> <\/li>\n<li><noindex><a rel=\"nofollow\" href=\"https:\/\/ibm.ent.box.com\/v\/WatsonCookieData\">Datas\u00e6t<\/a><\/noindex> with cookies for training <\/li>\n<li><noindex><a rel=\"nofollow\" href=\"https:\/\/cloud.ibm.com\/docs\/services\/visual-recognition?topic=visual-recognition-object-detection-overview\">Dokumentation <\/a><\/noindex><\/li>\n<\/ul>\n<p>Kilde: <a content=\"nofollow\" rel=\"nofollow\" href=\"https:\/\/habr.com\/ru\/company\/ibm\/blog\/474978\/\">habr.com<\/a><\/p>","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"excerpt":{"rendered":"<p>\u0414\u043e \u043d\u0435\u0434\u0430\u0432\u043d\u0438\u0445 \u043f\u043e\u0440 IBM Watson Visual Recognition \u0432 \u043e\u0441\u043d\u043e\u0432\u043d\u043e\u043c \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u043b\u0441\u044f \u0434\u043b\u044f \u0440\u0430\u0441\u043f\u043e\u0437\u043d\u0430\u0432\u0430\u043d\u0438\u044f \u0438\u0437\u043e\u0431\u0440\u0430\u0436\u0435\u043d\u0438\u044f, \u043a\u0430\u043a \u0435\u0434\u0438\u043d\u043e\u0433\u043e \u0446\u0435\u043b\u043e\u0433\u043e. \u041e\u0434\u043d\u0430\u043a\u043e \u0440\u0430\u0431\u043e\u0442\u0430 \u0441 \u043a\u0430\u0440\u0442\u0438\u043d\u043a\u043e\u0439, \u043a\u0430\u043a \u0441 \u0435\u0434\u0438\u043d\u044b\u043c \u0446\u0435\u043b\u044b\u043c \u2014 \u0434\u0430\u043b\u0435\u043a\u043e \u043d\u0435 \u0441\u0430\u043c\u044b\u0439 \u043f\u0440\u0430\u0432\u0438\u043b\u044c\u043d\u044b\u0439 \u043f\u043e\u0434\u0445\u043e\u0434. \u0422\u0435\u043f\u0435\u0440\u044c, \u0431\u043b\u0430\u0433\u043e\u0434\u0430\u0440\u044f \u043d\u043e\u0432\u043e\u0439 \u0444\u0443\u043d\u043a\u0446\u0438\u0438 \u0440\u0430\u0441\u043f\u043e\u0437\u043d\u0430\u0432\u0430\u043d\u0438\u044f \u043e\u0431\u044a\u0435\u043a\u0442\u043e\u0432, \u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u0442\u0435\u043b\u0438 IBM Watson \u043f\u043e\u043b\u0443\u0447\u0438\u043b\u0438 \u0432\u043e\u0437\u043c\u043e\u0436\u043d\u043e\u0441\u0442\u044c \u043e\u0431\u0443\u0447\u0430\u0442\u044c \u043c\u043e\u0434\u0435\u043b\u0438 \u043d\u0430 \u0438\u0437\u043e\u0431\u0440\u0430\u0436\u0435\u043d\u0438\u044f\u0445 \u0441 \u0440\u0430\u0437\u043c\u0435\u0447\u0435\u043d\u043d\u044b\u043c\u0438 \u043e\u0431\u044a\u0435\u043a\u0442\u0430\u043c\u0438, \u0434\u043b\u044f \u0438\u0445 \u043f\u043e\u0441\u043b\u0435\u0434\u0443\u044e\u0449\u0435\u0433\u043e \u0440\u0430\u0441\u043f\u043e\u0437\u043d\u0430\u0432\u0430\u043d\u0438\u044f \u043d\u0430 \u043b\u044e\u0431\u044b\u0445 \u043a\u0430\u0434\u0440\u0430\u0445. [&hellip;]<\/p>\n","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[688],"tags":[],"class_list":["post-52524","post","type-post","status-publish","format-standard","hentry","category-administrirovanie"],"aioseo_notices":[],"aioseo_head":"\n\t\t<!-- All in One SEO 5.0.3 - aioseo.com -->\n\t<meta name=\"description\" content=\".\" \/>\n\t<meta name=\"robots\" content=\"max-image-preview:large\" \/>\n\t<meta name=\"author\" content=\"Yuri Gagarin\"\/>\n\t<link rel=\"canonical\" href=\"https:\/\/prohoster.info\/da\/blog\/administrirovanie\/ibm-watson-visual-recognition-funktsiya-raspoznavaniya-obektov-teper-dostupna-v-ibm-cloud\" \/>\n\t\t<meta name=\"generator\" content=\"All in One SEO (AIOSEO) 5.0.3\" \/>\n\t\t<meta property=\"og:locale\" content=\"da_DK\" \/>\n\t\t<meta property=\"og:site_name\" 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