3 Nisan 2024 Veri seti Açık Erişim

Doğan, Gürkan; Uyanık, Hakan; Ergen, Burhan

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        "name": "Do\u011fan, G\u00fcrkan", 
        "orcid": "0000-0003-2497-8348"
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        "affiliation": "Munzur \u00dcniversitesi", 
        "name": "Uyan\u0131k, Hakan", 
        "orcid": "0000-0002-6870-7569"
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      {
        "affiliation": "F\u0131rat \u00dcniversitesi", 
        "name": "Ergen, Burhan", 
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    "description": "<p>Bu veri seti, 122E623 nolu T&Uuml;B\u0130TAK 1002-A projesi i&ccedil;in F\u0131rat &Uuml;niversitesi kamp&uuml;s alanlar\u0131ndan toplan\u0131lm\u0131\u015ft\u0131r&nbsp;ve The Firat University-driving Labeled Video Dataset (FUVid) olarak adland\u0131r\u0131lm\u0131\u015ft\u0131r. FUVid veri seti, bir otomobilin &ouml;n cam\u0131na i&ccedil;ten monte edilen 1280 x 720 &ccedil;&ouml;z&uuml;n&uuml;rl&uuml;\u011fe sahip bir Mevo Start kamera arac\u0131l\u0131\u011f\u0131yla T&uuml;rkiye&rsquo;nin Elaz\u0131\u011f ilinde bulunan Firat &Uuml;niversitesi kamp&uuml;s alanlar\u0131ndan video olarak yakalanan ve s&uuml;r&uuml;lebilir yol alan\u0131n\u0131 anlamsal b&ouml;l&uuml;tlemek i&ccedil;in olu\u015fturulan bir veri setidir. Farkl\u0131 ayd\u0131nlatma ko\u015fullar\u0131n\u0131 sa\u011flamak i&ccedil;in g&uuml;nd&uuml;z ve ak\u015fam&uuml;st&uuml;ne yak\u0131n bir zaman aral\u0131\u011f\u0131 se&ccedil;ilirken hava ko\u015fullar\u0131 i&ccedil;in herhangi bir &ccedil;e\u015fitlilik veya olumsuzluk s&ouml;z konusu de\u011fildir. Bu video, her biri 1 saniyelik periyoda denk gelen 1417 &ccedil;er&ccedil;eveye (frame) ayr\u0131lm\u0131\u015ft\u0131r. Daha sonra, bu &ccedil;er&ccedil;eveler Matlab Image Labeler ile manuel olarak background ve s&uuml;r&uuml;lebilir yol alan\u0131 olmak &uuml;zere iki s\u0131n\u0131fl\u0131 olarak etiketlendirilmi\u015ftir/annotated.&nbsp;FUVid veri setindeki g&ouml;r&uuml;nt&uuml;ler 0 (s\u0131f\u0131r) say\u0131s\u0131ndan ba\u015flanarak adland\u0131r\u0131lm\u0131\u015ft\u0131r ve g&ouml;r&uuml;nt&uuml; say\u0131s\u0131nca artarak 1416&rsquo;a kadar devam etmi\u015ftir. Her bir g&ouml;r&uuml;nt&uuml;ye kar\u015f\u0131l\u0131k gelen maskede ayn\u0131 \u015fekilde adland\u0131r\u0131lacakt\u0131r. Bu g&ouml;r&uuml;nt&uuml; ve maskelerin dosya format\u0131, s\u0131ras\u0131yla, JPG ve PNG&rsquo;dir.&nbsp; Bu veri setinin %80&rsquo;i e\u011fitim (train), %10&rsquo;u ge&ccedil;erleme (validation) ve %10&rsquo;u test verisi olarak rastgele ayr\u0131lm\u0131\u015ft\u0131r. Bu rastgele ayr\u0131m\u0131 farkl\u0131 &ccedil;al\u0131\u015fmalarda s&uuml;rd&uuml;rmek i&ccedil;in, veri setinin e\u011fitim, do\u011frulama ve test verileri farkl\u0131 klas&ouml;rlerde tutulmas\u0131 sa\u011flanm\u0131\u015ft\u0131r. Bu klas&ouml;r/dizin yap\u0131s\u0131n\u0131n adland\u0131r\u0131lmas\u0131 e\u011fitim seti i&ccedil;in g&ouml;r&uuml;nt&uuml;ler de &ldquo;trainset&rdquo;, maskelerinde ise &ldquo;trainset_mask&rdquo;, do\u011frulama seti i&ccedil;in g&ouml;r&uuml;nt&uuml;ler de &ldquo;validationset&rdquo;, maskelerinde ise &ldquo;validationset_mask&rdquo; ve test seti i&ccedil;in g&ouml;r&uuml;nt&uuml;ler de &ldquo;testset&rdquo;, maskelerinde ise &ldquo;testset_mask&rdquo; \u015feklindedir.</p>", 
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    "science_branches": [
      "Teknik Bilimler > Bilgisayar Bilimleri > Yapay Zeka, Bilgisayarda \u00d6\u011frenme ve \u00d6r\u00fcnt\u00fc Tan\u0131ma", 
      "Teknik Bilimler > Bilgisayar Bilimleri > Yapay Zeka, Bilgisayarda \u00d6\u011frenme ve \u00d6r\u00fcnt\u00fc Tan\u0131ma > Bilgisayar \u00d6\u011frenimi", 
      "Teknik Bilimler > Bilgisayar Bilimleri > Yapay Zeka, Bilgisayarda \u00d6\u011frenme ve \u00d6r\u00fcnt\u00fc Tan\u0131ma > Evrimsel Hesaplama", 
      "Teknik Bilimler > Bilgisayar Bilimleri > Yapay Zeka, Bilgisayarda \u00d6\u011frenme ve \u00d6r\u00fcnt\u00fc Tan\u0131ma > \u00d6r\u00fcnt\u00fc Tan\u0131ma ve G\u00f6r\u00fcnt\u00fc \u0130\u015fleme", 
      "Teknik Bilimler > Bilgisayar Bilimleri > Yapay Zeka, Bilgisayarda \u00d6\u011frenme ve \u00d6r\u00fcnt\u00fc Tan\u0131ma > Sinirsel A\u011flar"
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