{"id":2841,"date":"2021-09-08T17:47:32","date_gmt":"2021-09-08T12:17:32","guid":{"rendered":"https:\/\/www.datalabelify.com\/?p=2841"},"modified":"2023-11-03T11:50:03","modified_gmt":"2023-11-03T06:20:03","slug":"computer-vision-opportunities-and-challenges","status":"publish","type":"post","link":"https:\/\/www.datalabelify.com\/cs\/pocitacove-vize-prilezitosti-a-vyzvy\/","title":{"rendered":"Po\u010d\u00edta\u010dov\u00e9 vid\u011bn\u00ed: p\u0159\u00edle\u017eitosti a v\u00fdzvy"},"content":{"rendered":"
Po\u010d\u00edta\u010dov\u00e1 vize: P\u0159\u00edle\u017eitosti a v\u00fdzvy<\/em><\/h6>\n

Um\u011bl\u00e1 inteligence (AI), kter\u00e1 se pou\u017e\u00edv\u00e1 nap\u0159\u00ed\u010d pr\u016fmyslov\u00fdmi odv\u011btv\u00edmi, umo\u017e\u0148uje post\u0159ehy, kter\u00e9 m\u011bn\u00ed hru, a vytv\u00e1\u0159en\u00ed nov\u00fdch produkt\u016f. Automatizuje tak\u00e9 slo\u017eit\u00e9 \u00fakoly. Jednou z aplikac\u00ed um\u011bl\u00e9 inteligence, kter\u00e1 m\u00e1 velk\u00fd potenci\u00e1l transformovat pr\u016fmyslov\u00e1 odv\u011btv\u00ed produkuj\u00edc\u00ed velk\u00e9 mno\u017estv\u00ed vizu\u00e1ln\u00edch dat, je po\u010d\u00edta\u010dov\u00e9 vid\u011bn\u00ed.<\/p>\n

P\u0159\u00edpady pou\u017eit\u00ed po\u010d\u00edta\u010dov\u00e9ho vid\u011bn\u00ed mohou sahat od v\u00fdcviku ps\u016f a z\u00e1chrany \u017eivota s mnoha dal\u0161\u00edmi p\u0159\u00edpady pou\u017eit\u00ed. Vytvo\u0159it je je dvoj\u00ed v\u00fdzva. M\u016f\u017eete si vybrat metody anotac\u00ed (video, ohrani\u010dovac\u00ed r\u00e1me\u010dek, mnoho\u00faheln\u00edk) a objekty, c\u00edle nebo chov\u00e1n\u00ed, kter\u00e9 chcete, aby v\u00e1\u0161 model rozpoznal.<\/p>\n

Spr\u00e1vn\u00e9 ozna\u010den\u00ed obrovsk\u00e9ho mno\u017estv\u00ed dat pot\u0159ebn\u00fdch k nau\u010den\u00ed stroje, aby je rozpoznal vizu\u00e1ln\u011b.<\/p>\n

To plat\u00ed zejm\u00e9na v p\u0159\u00edpad\u011b, \u017ee m\u00e1te jako vizu\u00e1ln\u00ed data v\u00edce sn\u00edmk\u016f nebo videa.<\/p>\n

Pozn\u00e1mky k video dat\u016fm jsou velmi u\u017eite\u010dn\u00e9 v r\u016fzn\u00fdch aplikac\u00edch. Anotovan\u00e9 po\u010d\u00edta\u010dov\u00e9 vid\u011bn\u00ed lze pou\u017e\u00edt k v\u00fdcviku syst\u00e9m\u016f autonomn\u00edch vozidel k rozpozn\u00e1n\u00ed hranic ulic a detekci pruh\u016f. Pou\u017e\u00edv\u00e1 se pro l\u00e9ka\u0159skou AI k identifikaci nemoc\u00ed a poskytov\u00e1n\u00ed chirurgick\u00e9 pomoci. Lze jej tak\u00e9 pou\u017e\u00edt k vytvo\u0159en\u00ed maloobchodn\u00edho prost\u0159ed\u00ed bez pokladny, kde jsou z\u00e1kazn\u00edk\u016fm \u00fa\u010dtov\u00e1ny pouze polo\u017eky, kter\u00e9 si s sebou p\u0159inesou. Jednou ze zaj\u00edmav\u00fdch aplikac\u00ed je video anotace, kterou lze pou\u017e\u00edt k vytvo\u0159en\u00ed \u00fa\u010dinn\u00e9ho syst\u00e9mu, kter\u00fd v\u011bdc\u016fm umo\u017en\u00ed dozv\u011bd\u011bt se v\u00edce o \u00fa\u010dinc\u00edch slune\u010dn\u00ed technologie na pt\u00e1ky.<\/p>\n

<\/h3>\n

Video Anotace: Co to d\u011bl\u00e1<\/h3>\n

Video anotace lze pova\u017eovat za podmno\u017einu anotace obr\u00e1zku a pou\u017e\u00edv\u00e1 mnoho stejn\u00fdch n\u00e1stroj\u016f. Proces je v\u0161ak slo\u017eit\u011bj\u0161\u00ed. Proces anotac\u00ed u vide\u00ed m\u016f\u017ee trvat a\u017e 60 sn\u00edmk\u016f za sekundu. To znamen\u00e1, \u017ee m\u016f\u017ee trvat mnohem d\u00e9le, ne\u017e anotov\u00e1n\u00ed obr\u00e1zk\u016f.<\/p>\n

Video m\u016f\u017eete komentovat dv\u011bma zp\u016fsoby:<\/span><\/p>\n

P\u016fvodn\u00ed metoda pro anotaci videa je jeden sn\u00edmek. Anot\u00e1tor rozd\u011bl\u00ed video do mnoha obr\u00e1zk\u016f a p\u0159id\u00e1 je jeden po druh\u00e9m. Toho lze n\u011bkdy dos\u00e1hnout pomoc\u00ed kop\u00edrov\u00e1n\u00ed anotace ze sn\u00edmku do sn\u00edmku. To je neefektivn\u00ed a \u010dasov\u011b n\u00e1ro\u010dn\u00e9. To m\u016f\u017ee fungovat v ur\u010dit\u00fdch p\u0159\u00edpadech, kdy jsou objekty v r\u00e1mci sn\u00edmk\u016f m\u00e9n\u011b dynamick\u00e9.<\/p>\n

Streamovan\u00e9 video je popul\u00e1rn\u011bj\u0161\u00ed. Anot\u00e1tor pravideln\u011b vytv\u00e1\u0159\u00ed anotace pomoc\u00ed specializovan\u00fdch funkc\u00ed n\u00e1stroje pro anotaci dat. To je rychlej\u0161\u00ed a anot\u00e1tor m\u016f\u017ee ozna\u010dovat objekty, kdy\u017e se pohybuj\u00ed v r\u00e1mci. To by mohlo v\u00e9st k lep\u0161\u00edmu strojov\u00e9mu u\u010den\u00ed. Tato metoda je rychlej\u0161\u00ed a b\u011b\u017en\u011bj\u0161\u00ed, proto\u017ee trh s n\u00e1stroji pro anotaci dat roste a poskytovatel\u00e9 roz\u0161i\u0159uj\u00ed mo\u017enosti sv\u00e9 platformy n\u00e1stroj\u016f.<\/p>\n

Sledov\u00e1n\u00ed je metoda anotov\u00e1n\u00ed pohybu objekt\u016f. Interpolace je funkce n\u011bkter\u00fdch n\u00e1stroj\u016f pro anotaci obr\u00e1zk\u016f, kter\u00e1 umo\u017e\u0148uje anot\u00e1torovi ozna\u010dit jeden sn\u00edmek a pot\u00e9 p\u0159esko\u010dit na jin\u00fd sn\u00edmek. To umo\u017e\u0148uje anot\u00e1torovi p\u0159esunout anotaci na m\u00edsto, kde se objekt objev\u00ed pozd\u011bji v \u010dase.<\/p>\n

Interpolace vyu\u017e\u00edv\u00e1 strojov\u00e9 u\u010den\u00ed k vypln\u011bn\u00ed pohybu a sledov\u00e1n\u00ed (nebo interpolaci) pohyb\u016f objektu ve sn\u00edmc\u00edch mezi nimi, kter\u00e9 nebyly anotov\u00e1ny.<\/p>\n

Pokud chcete vytvo\u0159it po\u010d\u00edta\u010dov\u00e9 vid\u011bn\u00ed Modelka<\/a> schopn\u00fd ovl\u00e1dat skalpel b\u011bhem operace, budete muset pou\u017e\u00edt komentovan\u00e1 videa, kter\u00e1 ukazuj\u00ed pohyby skalpel\u016f z tis\u00edc\u016f nebo stovek r\u016fzn\u00fdch chirurgick\u00fdch z\u00e1krok\u016f. Tato videa lze pou\u017e\u00edt k tr\u00e9nov\u00e1n\u00ed stroje, jak rozpoznat a sledovat skalpel.<\/p>\n

Pracovn\u00ed s\u00edla je kl\u00ed\u010dovou volbou pro po\u010d\u00edta\u010dov\u00e9 vid\u011bn\u00ed<\/h4>\n

Video anotace je rozhodnut\u00ed, kter\u00e9 ovlivn\u00ed va\u0161i pracovn\u00ed s\u00edlu. \u010casto se p\u0159ehl\u00ed\u017e\u00ed, \u017ee p\u0159i sestavov\u00e1n\u00ed model\u016f po\u010d\u00edta\u010dov\u00e9ho vid\u011bn\u00ed je d\u016fle\u017eit\u00fdm faktorem pracovn\u00ed s\u00edla. Od za\u010d\u00e1tku projektu by se v\u0161ak m\u011blo uva\u017eovat strategi\u010dt\u011bji.<\/p>\n

Intern\u00ed anot\u00e1tory m\u016f\u017ee b\u00fdt obt\u00ed\u017en\u00e9 \u0161k\u00e1lovat kv\u016fli velk\u00e9mu mno\u017estv\u00ed dat pot\u0159ebn\u00fdch k tr\u00e9nov\u00e1n\u00ed model\u016f po\u010d\u00edta\u010dov\u00e9ho vid\u011bn\u00ed. Vy\u017eaduj\u00ed tak\u00e9 v\u00fdznamn\u00fd management. Crowdsourcing je obl\u00edben\u00fd zp\u016fsob, jak rychle z\u00edskat zdroje pro velk\u00e9 t\u00fdmy anotac\u00ed, ale m\u016f\u017ee zp\u016fsobit probl\u00e9my s kvalitou, proto\u017ee pracovn\u00edci nejsou odpov\u011bdn\u00ed za jejich p\u0159esnost a mohou b\u00fdt m\u00e9n\u011b spolehliv\u00ed.<\/p>\n

Profesion\u00e1ln\u011b \u0159\u00edzen\u00e9 t\u00fdmy anot\u00e1tor\u016f jsou skv\u011blou volbou, zejm\u00e9na p\u0159i vytv\u00e1\u0159en\u00ed model\u016f strojov\u00e9ho u\u010den\u00ed, kter\u00e9 funguj\u00ed ve vysoce p\u0159esn\u00fdch prost\u0159ed\u00edch. Postupem \u010dasu se znalost anot\u00e1tor\u016f o va\u0161ich obchodn\u00edch pravidlech a okrajov\u00fdch p\u0159\u00edpadech zlep\u0161uje, co\u017e vede k vy\u0161\u0161\u00ed kvalit\u011b dat a efektivn\u011bj\u0161\u00edm model\u016fm po\u010d\u00edta\u010dov\u00e9ho vid\u011bn\u00ed.<\/p>\n

Je\u0161t\u011b lep\u0161\u00ed je, \u017ee v\u00e1\u0161 t\u00fdm by m\u011bl fungovat jako va\u0161e roz\u0161\u00ed\u0159en\u00ed s \u00fazkou komunikac\u00ed. To v\u00e1m umo\u017en\u00ed prov\u00e1d\u011bt \u00fapravy ve va\u0161em pracovn\u00edm postupu, zat\u00edmco budete tr\u00e9novat, ov\u011b\u0159ovat a testovat sv\u00e9 modely.<\/p>\n

Labelify<\/a>: N\u00e1stroj pro anotaci videa dle va\u0161eho v\u00fdb\u011bru<\/p>\n

Labelify poskytuje profesion\u00e1ln\u011b spravovan\u00e9 t\u00fdmy datov\u00fdch analytik\u016f od roku 2019. Na\u0161i pracovn\u00edci ozna\u010duj\u00ed vizu\u00e1ln\u00ed data pro strojov\u00e9 u\u010den\u00ed a hloubkov\u00e1 \u0161kolen\u00ed pro 7 autonomn\u00edch spole\u010dnost\u00ed po cel\u00e9m sv\u011bt\u011b.<\/p>\n

Kontaktujte n\u00e1s je\u0161t\u011b dnes a zjist\u011bte v\u00edce o anotaci videa Labelify pro po\u010d\u00edta\u010dov\u00e9 vid\u011bn\u00ed.<\/p>","protected":false},"excerpt":{"rendered":"

Computer Vision: Opportunities and Challenges Artificial intelligence (AI), which is used across industries, allows for game-changing insights and the creation of new products. It also automates complex tasks. One application of AI that has great potential to transform industries that produce large amounts of visual data is computer vision. Computer vision use cases can range […]<\/p>","protected":false},"author":3,"featured_media":14339,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"inline_featured_image":false,"footnotes":""},"categories":[16,17,1,8],"tags":[],"class_list":["post-2841","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-artificial-intelligence","category-computer-vision","category-data-annotation","category-video-annotation"],"blocksy_meta":[],"featured_image_urls":{"full":["https:\/\/www.datalabelify.com\/wp-content\/uploads\/2021\/09\/Computer-Vision.jpg",2240,1260,false],"thumbnail":["https:\/\/www.datalabelify.com\/wp-content\/uploads\/2021\/09\/Computer-Vision-150x150.jpg",150,150,true],"medium":["https:\/\/www.datalabelify.com\/wp-content\/uploads\/2021\/09\/Computer-Vision-300x169.jpg",300,169,true],"medium_large":["https:\/\/www.datalabelify.com\/wp-content\/uploads\/2021\/09\/Computer-Vision-768x432.jpg",768,432,true],"large":["https:\/\/www.datalabelify.com\/wp-content\/uploads\/2021\/09\/Computer-Vision-1024x576.jpg",1024,576,true],"1536x1536":["https:\/\/www.datalabelify.com\/wp-content\/uploads\/2021\/09\/Computer-Vision-1536x864.jpg",1536,864,true],"2048x2048":["https:\/\/www.datalabelify.com\/wp-content\/uploads\/2021\/09\/Computer-Vision-2048x1152.jpg",2048,1152,true],"trp-custom-language-flag":["https:\/\/www.datalabelify.com\/wp-content\/uploads\/2021\/09\/Computer-Vision-18x10.jpg",18,10,true],"ultp_layout_landscape_large":["https:\/\/www.datalabelify.com\/wp-content\/uploads\/2021\/09\/Computer-Vision-1200x800.jpg",1200,800,true],"ultp_layout_landscape":["https:\/\/www.datalabelify.com\/wp-content\/uploads\/2021\/09\/Computer-Vision-870x570.jpg",870,570,true],"ultp_layout_portrait":["https:\/\/www.datalabelify.com\/wp-content\/uploads\/2021\/09\/Computer-Vision-600x900.jpg",600,900,true],"ultp_layout_square":["https:\/\/www.datalabelify.com\/wp-content\/uploads\/2021\/09\/Computer-Vision-600x600.jpg",600,600,true],"yarpp-thumbnail":["https:\/\/www.datalabelify.com\/wp-content\/uploads\/2021\/09\/Computer-Vision-120x120.jpg",120,120,true]},"post_excerpt_stackable":"

Computer Vision: Opportunities and Challenges Artificial intelligence (AI), which is used across industries, allows for game-changing insights and the creation of new products. It also automates complex tasks. One application of AI that has great potential to transform industries that produce large amounts of visual data is computer vision. Computer vision use cases can range from dog training and life-saving, with many other use cases. It is a two-fold challenge to create them. You can choose your annotation methods (video, bounding box, polygon) and the objects, targets, or behaviors that you want your model to recognize. Correctly labeling the huge…<\/p>\n","category_list":"Artificial intelligence<\/a>, Computer Vision<\/a>, Data Annotation<\/a>, Video Annotation<\/a>","author_info":{"name":"Parth P","url":"https:\/\/www.datalabelify.com\/cs\/author\/soeuidhae\/"},"comments_num":"0 comments","_links":{"self":[{"href":"https:\/\/www.datalabelify.com\/cs\/wp-json\/wp\/v2\/posts\/2841","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.datalabelify.com\/cs\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.datalabelify.com\/cs\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.datalabelify.com\/cs\/wp-json\/wp\/v2\/users\/3"}],"replies":[{"embeddable":true,"href":"https:\/\/www.datalabelify.com\/cs\/wp-json\/wp\/v2\/comments?post=2841"}],"version-history":[{"count":4,"href":"https:\/\/www.datalabelify.com\/cs\/wp-json\/wp\/v2\/posts\/2841\/revisions"}],"predecessor-version":[{"id":3106,"href":"https:\/\/www.datalabelify.com\/cs\/wp-json\/wp\/v2\/posts\/2841\/revisions\/3106"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.datalabelify.com\/cs\/wp-json\/wp\/v2\/media\/14339"}],"wp:attachment":[{"href":"https:\/\/www.datalabelify.com\/cs\/wp-json\/wp\/v2\/media?parent=2841"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.datalabelify.com\/cs\/wp-json\/wp\/v2\/categories?post=2841"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.datalabelify.com\/cs\/wp-json\/wp\/v2\/tags?post=2841"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}