Benzer dipnot<\/a> G\u00f6r\u00fcnt\u00fclerden video, ara\u015ft\u0131rmac\u0131lar\u0131n bilgisayar g\u00f6r\u00fc\u015f\u00fcn\u00fc kullanarak \u00e7evrelerindeki nesneleri tan\u0131mada makinelere yard\u0131mc\u0131 olmak i\u00e7in g\u00fcvendikleri en \u00f6nemli teknikler aras\u0131ndad\u0131r. Ek a\u00e7\u0131klamac\u0131lar\u0131n, hareketli nesneleri makineler taraf\u0131ndan tan\u0131mlanabilir hale getirmek i\u00e7in \u00e7e\u015fitli y\u00f6ntemlerle tan\u0131mas\u0131n\u0131 gerektiren veri a\u00e7\u0131klamas\u0131 \u00fczerinde \u00e7al\u0131\u015f\u0131rken. A\u015fa\u011f\u0131daki makalede, video a\u00e7\u0131klamalar\u0131n\u0131n derinlemesine d\u00fcnyas\u0131n\u0131 inceleyece\u011fiz ve \u00f6neminin artt\u0131\u011f\u0131 belirli sekt\u00f6rleri, veri a\u00e7\u0131klamas\u0131 ve di\u011fer bir\u00e7ok bilgi i\u00e7in farkl\u0131 y\u00f6ntem t\u00fcrlerini inceleyece\u011fiz.<\/p>\n Video a\u00e7\u0131klamas\u0131, hareketli nesneleri makineler veya bilgisayarlar taraf\u0131ndan g\u00f6r\u00fcn\u00fcr hale getiren kare kare ek a\u00e7\u0131klamalar kullanarak videoda g\u00f6rd\u00fc\u011f\u00fcn\u00fcz her nesnenin foto\u011fraf\u0131n\u0131n \u00e7ekilmesi i\u015flemini ifade eder. \u0130lgilendi\u011finiz nesne hareket etti\u011finden g\u00f6r\u00fcnt\u00fc a\u00e7\u0131klamas\u0131ndan daha karma\u015f\u0131kt\u0131r.<\/p>\n Ba\u015fka bir sorun genellikle a\u00e7\u0131klama eklenmesi gereken bilgi miktar\u0131d\u0131r. Her video klibe kare kare a\u00e7\u0131klama eklenmesi gerekti\u011finden, veri hacmi h\u0131zla artabilir. Makine \u00f6\u011frenimiyle ilgili projeler geli\u015ftiren bir\u00e7ok \u015firketin bu i\u015fi bir ek a\u00e7\u0131klamaya d\u0131\u015f kaynaklardan sa\u011flamay\u0131 tercih etmesinin bir nedeni de budur. hizmet<\/a> Labelify gibi.<\/p>\n Hangi sekt\u00f6rler giderek daha fazla Video Ek A\u00e7\u0131klamas\u0131na g\u00fcveniyor?<\/strong><\/p>\n Video a\u00e7\u0131klamas\u0131, otomotiv end\u00fcstrisinde otonom ara\u00e7lar\u0131 \u00e7al\u0131\u015ft\u0131ran makine \u00f6\u011frenimi algoritmalar\u0131n\u0131n e\u011fitilmesine yard\u0131mc\u0131 olmak i\u00e7in s\u0131kl\u0131kla kullan\u0131l\u0131yor. Bu, otonom ara\u00e7lar\u0131n uyluklar\u0131 sokak \u0131\u015f\u0131klar\u0131, arabalar, sokaklar, yayalar ve s\u00fcr\u00fc\u015f s\u0131ras\u0131nda kar\u015f\u0131la\u015ft\u0131klar\u0131 di\u011fer nesneler olarak tan\u0131mlamas\u0131na olanak tan\u0131r. Ayr\u0131ca, poz tan\u0131man\u0131n yan\u0131 s\u0131ra insan hareketinin izlenmesi de video oyunu geli\u015ftiricileri taraf\u0131ndan hepimizin keyif ald\u0131\u011f\u0131 oyunlar\u0131 tasarlamak i\u00e7in kullan\u0131l\u0131yor. Bu, y\u00fczlerindeki ifadeler, \u00e7e\u015fitli aktiviteler yaparken nas\u0131l olduklar\u0131 ve duru\u015flar\u0131 gibi \u015feylerin do\u011fru bir \u015fekilde not edilmesiyle ger\u00e7ekle\u015ftirilir. Gelecekte futbol ve hokey oyunlar\u0131 olu\u015fturmak i\u00e7in Labelify ek a\u00e7\u0131klamalar\u0131n\u0131n kullan\u0131ld\u0131\u011f\u0131 baz\u0131 \u00f6rnekler verece\u011fiz. Ancak buna ge\u00e7meden \u00f6nce, verilere y\u00f6nelik farkl\u0131 t\u00fcrdeki ek a\u00e7\u0131klamalara genel bir bak\u0131\u015f atal\u0131m.<\/p>\n Veriler i\u00e7in \u00e7e\u015fitli t\u00fcrde ek a\u00e7\u0131klamalar vard\u0131r ve hangisinin se\u00e7ilece\u011fine ili\u015fkin karar, spesifik projeye ba\u011fl\u0131 olacakt\u0131r. Video verilerine a\u00e7\u0131klama eklemek i\u00e7in en pop\u00fcler y\u00f6ntemler \u015funlard\u0131r:<\/p>\n Yukar\u0131da bahsedilen tekniklerin kullan\u0131labilece\u011fi \u00e7e\u015fitli senaryolar veya veri a\u00e7\u0131klama t\u00fcrleri vard\u0131r. Bu potansiyel video veri ek a\u00e7\u0131klama t\u00fcrleri \u015funlar\u0131 i\u00e7erir:<\/p>\n Video ek a\u00e7\u0131klamalar\u0131n\u0131n veri ek a\u00e7\u0131klamalar\u0131na yol a\u00e7abilece\u011fi \u00e7ok say\u0131da belirli sorun vard\u0131r. Zorluklar \u015funlard\u0131r:<\/p>\n Sadece ek a\u00e7\u0131klamay\u0131 tamamlad\u0131m. Video a\u00e7\u0131klamalar\u0131n\u0131n yaratt\u0131\u011f\u0131 zorluklardan biri, bu nesnelerin sabit olmamas\u0131 ve a\u00e7\u0131klamalar\u0131n bilgisayar ekran\u0131ndaki hareketli nesnenin resmini \u00e7ekmesi gerekti\u011fidir. Videolar\u0131n genellikle GIF dosyalar\u0131 gibi daha k\u00fc\u00e7\u00fck kliplere d\u00f6n\u00fc\u015ft\u00fcr\u00fclmesinin ve belirli nesnelerin a\u00e7\u0131klama eklenecek \u015fekilde tan\u0131mlanmas\u0131n\u0131n nedeni budur.<\/p>\n Son derece y\u00fcksek d\u00fczeyde do\u011fruluk sa\u011flamak Verilere a\u00e7\u0131klama eklemek son derece s\u0131k\u0131c\u0131 ve monoton bir i\u015ftir ve bir a\u00e7\u0131klama tamamen kendi i\u015fine odaklanmazsa, y\u00fcksek bir do\u011fruluk d\u00fczeyini korumak zordur.<\/p>\n \u00c7ok b\u00fcy\u00fck miktarda veri. Verilerin b\u00fcy\u00fckl\u00fc\u011f\u00fcn\u00fc hesaba katmam\u0131z gerekiyor. Bir makine \u00f6\u011frenimi sistemini e\u011fitmek i\u00e7in e\u011fitim ama\u00e7l\u0131 b\u00fcy\u00fck miktarda video verisine ihtiya\u00e7 duyuldu\u011fundan ve video daha fazla b\u00f6l\u00fcmlere b\u00f6l\u00fcnebildi\u011finden, veri hacminin h\u0131zl\u0131 bir \u015fekilde a\u00e7\u0131klanmas\u0131 gerekiyordu.<\/p>\n Bir hizmet sa\u011flay\u0131c\u0131 se\u00e7mek T\u00fcm bunlar bizi, video i\u00e7in t\u00fcm veri a\u00e7\u0131klamas\u0131 gereksinimlerinizi kar\u015f\u0131layabilecek en iyi d\u0131\u015f kaynak hizmet sa\u011flay\u0131c\u0131s\u0131n\u0131 belirlemeye y\u00f6nlendirir \u00e7\u00fcnk\u00fc bu i\u015fi \u015firket i\u00e7inde ger\u00e7ekle\u015ftirmek etkili de\u011fildir. Se\u00e7ti\u011finiz d\u0131\u015f kaynak hizmet sa\u011flay\u0131c\u0131s\u0131n\u0131n kadrosunda \u00e7ok say\u0131da veri a\u00e7\u0131klamas\u0131 uzman\u0131 bulunur; bu onlar\u0131n projenizi daha h\u0131zl\u0131 ba\u015flatmas\u0131na ve ayn\u0131 zamanda h\u0131zla y\u00f6netebilecekleri veri miktar\u0131 nedeniyle projenizi geni\u015fletmelerine olanak tan\u0131r.<\/p>\n Mevcut \u00e7e\u015fitli y\u00f6ntemleri, teknik t\u00fcrlerini ve video verilerine a\u00e7\u0131klama ekleme ve vurgulaman\u0131n zorluklar\u0131n\u0131 \u00f6\u011frendikten sonra baz\u0131 uygulamalara bakal\u0131m.<\/p>\n Video ek a\u00e7\u0131klamalar\u0131 Labelify'daki \u00f6rnekleri kullan\u0131r<\/strong><\/p>\n Video verilerine a\u00e7\u0131klama eklemenin video oyunlar\u0131 olu\u015fturmak i\u00e7in kullan\u0131labilece\u011fini s\u00f6ylemi\u015ftik. Yak\u0131n zamanda futbol ve hokey oyunlar\u0131n\u0131 geli\u015ftirmeye y\u00f6nelik baz\u0131 heyecan verici projeler \u00fczerinde \u00e7al\u0131\u015fmaya ba\u015flad\u0131k.<\/p>\n Rugby oyunlar\u0131n\u0131n video a\u00e7\u0131klamalar\u0131 ve etiketlenmesi, videodaki oyunlardan canl\u0131 spor etkinliklerine kadar her eylem, oyun end\u00fcstrisindeki makine \u00f6\u011frenimi modellerinin yan\u0131 s\u0131ra yapay zekada kullan\u0131lacak e\u011fitim verileri olarak kullan\u0131lmas\u0131na olanak sa\u011flayacak \u015fekilde izlenebilir. Bu projede, m\u00fc\u015fterinin spesifikasyonlar\u0131na g\u00f6re canl\u0131 olarak oynanan hokey ma\u00e7lar\u0131na ili\u015fkin a\u00e7\u0131klamalar yapmam\u0131z ve oyun s\u0131ras\u0131nda meydana gelen her olay\u0131 belirtmemiz gerekiyordu.<\/p>\n Futbol ma\u00e7lar\u0131na video a\u00e7\u0131klamas\u0131 ve etiketleme Spor oyunlar\u0131n\u0131n sonu\u00e7lar\u0131n\u0131 analiz etmek i\u00e7in yaz\u0131l\u0131m sunan bir \u015firketle \u00e7al\u0131\u015f\u0131yoruz. Proje, ma\u00e7lar\u0131 izlemeye ve ma\u00e7lardaki paslar, \u00e7\u0131k\u0131\u015flar ve goller gibi olaylar\u0131 not etmeye odaklan\u0131yor. Bu proje s\u0131ras\u0131nda bizden oyunlar\u0131n zaman damgalar\u0131n\u0131n yan\u0131 s\u0131ra tak\u0131m\u0131n ad\u0131, tarih yorumu, etkinlik ve di\u011fer belirli hususlar\u0131 da sa\u011flamam\u0131z istendi. Bu proje i\u00e7in 80 ki\u015filik bir a\u00e7\u0131klama ekibi e\u011fitildi.<\/p>","protected":false},"excerpt":{"rendered":" Video Data Annotation: What It Is and How It Is Used in the Real World Similar to the annotation of images, video is among the most important techniques that researchers are relying upon to aid machines in recognizing objects in their environment using computer vision. When working on data annotation that requires annotators to recognize […]<\/p>","protected":false},"author":3,"featured_media":14332,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"inline_featured_image":false,"footnotes":""},"categories":[1],"tags":[],"class_list":["post-2972","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-data-annotation"],"blocksy_meta":[],"featured_image_urls":{"full":["https:\/\/www.datalabelify.com\/wp-content\/uploads\/2021\/10\/Video-data-annotation.jpg",2240,1260,false],"thumbnail":["https:\/\/www.datalabelify.com\/wp-content\/uploads\/2021\/10\/Video-data-annotation-150x150.jpg",150,150,true],"medium":["https:\/\/www.datalabelify.com\/wp-content\/uploads\/2021\/10\/Video-data-annotation-300x169.jpg",300,169,true],"medium_large":["https:\/\/www.datalabelify.com\/wp-content\/uploads\/2021\/10\/Video-data-annotation-768x432.jpg",768,432,true],"large":["https:\/\/www.datalabelify.com\/wp-content\/uploads\/2021\/10\/Video-data-annotation-1024x576.jpg",1024,576,true],"1536x1536":["https:\/\/www.datalabelify.com\/wp-content\/uploads\/2021\/10\/Video-data-annotation-1536x864.jpg",1536,864,true],"2048x2048":["https:\/\/www.datalabelify.com\/wp-content\/uploads\/2021\/10\/Video-data-annotation-2048x1152.jpg",2048,1152,true],"trp-custom-language-flag":["https:\/\/www.datalabelify.com\/wp-content\/uploads\/2021\/10\/Video-data-annotation-18x10.jpg",18,10,true],"ultp_layout_landscape_large":["https:\/\/www.datalabelify.com\/wp-content\/uploads\/2021\/10\/Video-data-annotation-1200x800.jpg",1200,800,true],"ultp_layout_landscape":["https:\/\/www.datalabelify.com\/wp-content\/uploads\/2021\/10\/Video-data-annotation-870x570.jpg",870,570,true],"ultp_layout_portrait":["https:\/\/www.datalabelify.com\/wp-content\/uploads\/2021\/10\/Video-data-annotation-600x900.jpg",600,900,true],"ultp_layout_square":["https:\/\/www.datalabelify.com\/wp-content\/uploads\/2021\/10\/Video-data-annotation-600x600.jpg",600,600,true],"yarpp-thumbnail":["https:\/\/www.datalabelify.com\/wp-content\/uploads\/2021\/10\/Video-data-annotation-120x120.jpg",120,120,true]},"post_excerpt_stackable":" Video Data Annotation: What It Is and How It Is Used in the Real World Similar to the annotation of images, video is among the most important techniques that researchers are relying upon to aid machines in recognizing objects in their environment using computer vision. When working on data annotation that requires annotators to recognize moving objects with a variety of methods in order to make them identifiable to machines. The article below we’ll explore the in-depth world of video annotation and explore certain industries in which its significance is increasing and the different types of methods for data annotation…<\/p>\n","category_list":"Data Annotation<\/a>","author_info":{"name":"Parth P","url":"https:\/\/www.datalabelify.com\/tr\/author\/soeuidhae\/"},"comments_num":"0 comments","_links":{"self":[{"href":"https:\/\/www.datalabelify.com\/tr\/wp-json\/wp\/v2\/posts\/2972","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.datalabelify.com\/tr\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.datalabelify.com\/tr\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.datalabelify.com\/tr\/wp-json\/wp\/v2\/users\/3"}],"replies":[{"embeddable":true,"href":"https:\/\/www.datalabelify.com\/tr\/wp-json\/wp\/v2\/comments?post=2972"}],"version-history":[{"count":3,"href":"https:\/\/www.datalabelify.com\/tr\/wp-json\/wp\/v2\/posts\/2972\/revisions"}],"predecessor-version":[{"id":3090,"href":"https:\/\/www.datalabelify.com\/tr\/wp-json\/wp\/v2\/posts\/2972\/revisions\/3090"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.datalabelify.com\/tr\/wp-json\/wp\/v2\/media\/14332"}],"wp:attachment":[{"href":"https:\/\/www.datalabelify.com\/tr\/wp-json\/wp\/v2\/media?parent=2972"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.datalabelify.com\/tr\/wp-json\/wp\/v2\/categories?post=2972"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.datalabelify.com\/tr\/wp-json\/wp\/v2\/tags?post=2972"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}Video A\u00e7\u0131klamas\u0131 Nedir?<\/h3>\n
Veri a\u00e7\u0131klamas\u0131 t\u00fcrleri<\/h3>\n
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Video Ek A\u00e7\u0131klamas\u0131n\u0131n zorluklar\u0131<\/h3>\n