{"id":8746,"date":"2025-01-06T01:45:12","date_gmt":"2025-01-05T22:45:12","guid":{"rendered":"https:\/\/fatihsoysal.com\/blog\/aws-rekognition-ile-yuz-tanima-mini-proje\/"},"modified":"2025-01-06T01:45:12","modified_gmt":"2025-01-05T22:45:12","slug":"aws-rekognition-ile-yuz-tanima-mini-proje","status":"publish","type":"post","link":"https:\/\/fatihsoysal.com\/blog\/aws-rekognition-ile-yuz-tanima-mini-proje\/","title":{"rendered":"AWS Rekognition ile Y\u00fcz Tan\u0131ma: Mini Proje"},"content":{"rendered":"

<\/p>\n

AWS Rekognition ile Y\u00fcz Tan\u0131ma: Mini Proje<\/p>\n

Bu makalede, Amazon Web Services (AWS) Rekognition servisini kullanarak basit bir y\u00fcz tan\u0131ma projesi nas\u0131l geli\u015ftirilece\u011fini ad\u0131m ad\u0131m a\u00e7\u0131klayaca\u011f\u0131m. \u00d6ncelikle, AWS Rekognition’\u0131n ne oldu\u011funu ve neden kullan\u0131ld\u0131\u011f\u0131n\u0131 k\u0131saca \u00f6zetleyelim. Ard\u0131ndan, proje geli\u015ftirme s\u00fcrecine detayl\u0131 bir \u015fekilde dalaca\u011f\u0131z. Son olarak da, projenin avantajlar\u0131n\u0131 ve olas\u0131 kullan\u0131m alanlar\u0131n\u0131 ele alaca\u011f\u0131z.<\/p>\n

AWS Rekognition Nedir?<\/h2>\n

AWS Rekognition, g\u00f6r\u00fcnt\u00fcler ve videolarda nesneleri, y\u00fczleri, sahneleri ve metinleri tan\u0131mak i\u00e7in kullanabilece\u011finiz g\u00fc\u00e7l\u00fc bir bulut tabanl\u0131 yapay zeka (AI) hizmetidir. G\u00f6r\u00fcnt\u00fc i\u015fleme ve analiz gerektiren bir\u00e7ok uygulamada b\u00fcy\u00fck kolayl\u0131k sa\u011flar. \u00d6rne\u011fin, g\u00fcvenlik sistemlerinde, perakende analizlerinde veya sosyal medya uygulamalar\u0131nda kullan\u0131labilir. Bu hizmet, geli\u015fmi\u015f makine \u00f6\u011frenmesi algoritmalar\u0131 kullanarak y\u00fcksek do\u011frulukla sonu\u00e7lar \u00fcretir.<\/p>\n

Proje: Y\u00fcz Tan\u0131ma Uygulamas\u0131<\/h2>\n

Bu mini projede, bir g\u00f6r\u00fcnt\u00fcdeki y\u00fczleri tespit etmek ve baz\u0131 temel y\u00fcz \u00f6zelliklerini (\u00f6rne\u011fin, g\u00f6zler, a\u011f\u0131z, vb.) belirlemek i\u00e7in AWS Rekognition kullanaca\u011f\u0131z. Projemizin temel ad\u0131mlar\u0131 \u015funlard\u0131r:<\/p>\n

    \n
  1. AWS Hesab\u0131 Olu\u015fturma ve Rekognition Servisi Aktifle\u015ftirme:<\/strong> \u00d6ncelikle, bir AWS hesab\u0131n\u0131z\u0131n olmas\u0131 ve Rekognition servisinin aktifle\u015ftirilmesi gerekir. Bu i\u015flem, AWS y\u00f6netim konsolundan kolayca yap\u0131labilir.<\/li>\n
  2. SDK Kurulumu:<\/strong> Projemizi geli\u015ftirmek i\u00e7in, se\u00e7ti\u011finiz programlama diline uygun AWS SDK’s\u0131n\u0131 kurman\u0131z gerekecektir. Python kullan\u0131yorsan\u0131z, pip install boto3 komutu ile kurulum yapabilirsiniz.<\/li>\n
  3. G\u00f6r\u00fcnt\u00fc Y\u00fckleme:<\/strong> Y\u00fcz tan\u0131ma i\u015flemi i\u00e7in kullanaca\u011f\u0131n\u0131z g\u00f6r\u00fcnt\u00fcy\u00fc, S3’e (AWS Simple Storage Service) y\u00fckleyin. Bu, Rekognition servisi ile entegrasyonunuzu kolayla\u015ft\u0131racakt\u0131r.<\/li>\n
  4. Rekognition API \u00c7a\u011fr\u0131s\u0131:<\/strong> AWS SDK’s\u0131n\u0131 kullanarak, Rekognition’\u0131n detect_faces API fonksiyonunu \u00e7a\u011f\u0131rarak g\u00f6r\u00fcnt\u00fcy\u00fc analiz edebilirsiniz. Bu fonksiyon, g\u00f6r\u00fcnt\u00fcdeki y\u00fczleri tespit eder ve her bir y\u00fcz i\u00e7in bir dizi \u00f6zellik (\u00f6rne\u011fin, konum, g\u00f6zler, a\u011f\u0131z, duygular) d\u00f6nd\u00fcr\u00fcr.<\/li>\n
  5. Sonu\u00e7lar\u0131n \u0130\u015flenmesi:<\/strong> API’den al\u0131nan verileri i\u015fleyecek ve gerekirse g\u00f6rsel olarak sunacak bir kod yazman\u0131z gerekecektir. \u00d6rne\u011fin, tespit edilen y\u00fczlerin etraf\u0131na kutu \u00e7izerek, y\u00fcz \u00f6zelliklerini g\u00f6r\u00fcnt\u00fc \u00fczerinde g\u00f6sterebilirsiniz.<\/li>\n<\/ol>\n

    Python \u00d6rne\u011fi:<\/h3>\n
    \nimport boto3\n\nrekognition_client = boto3.client('rekognition')\n\nresponse = rekognition_client.detect_faces(Image={'S3Object':{'Bucket':'your-s3-bucket','Name':'your-image.jpg'}}, Attributes=['ALL'])\n\nfor face in response['FaceDetails']:\n    print(face)\n<\/code><\/pre>\n
    Bu kod, S3’ten bir g\u00f6r\u00fcnt\u00fc y\u00fckler ve AWS Rekognition ile analiz eder.  your-s3-bucket ve your-image.jpg yerine kendi de\u011ferlerinizi girmeyi unutmay\u0131n.  Kod daha sonra tespit edilen y\u00fczlerin \u00f6zelliklerini ekrana basar.<\/p>\n
    Avantajlar ve Kullan\u0131m Alanlar\u0131<\/h2>\n
    AWS Rekognition kullanman\u0131n bir\u00e7ok avantaj\u0131 vard\u0131r. Bunlardan baz\u0131lar\u0131 y\u00fcksek do\u011fruluk, \u00f6l\u00e7eklenebilirlik, kolay entegrasyon ve maliyet etkinli\u011fidir.  Ayr\u0131ca, y\u00fcz tan\u0131ma teknolojisi, g\u00fcvenlik sistemleri,  m\u00fc\u015fteri hizmetleri,  pazarlama analizleri ve daha bir\u00e7ok alanda kullan\u0131labilir.<\/p>\n
    Daha fazla bilgi i\u00e7in  fatihsoysal.com<\/a> adresini ziyaret edebilirsiniz.<\/p>\n
    Faydal\u0131 bulabilece\u011finiz bir kaynak: AWS Rekognition Resmi Dok\u00fcmantasyonu<\/a><\/p>\n
    Umar\u0131m bu makale, AWS Rekognition ile y\u00fcz tan\u0131ma projesi geli\u015ftirmenize yard\u0131mc\u0131 olmu\u015ftur.  Sorular\u0131n\u0131z i\u00e7in  fatihsoysal.com<\/a>  sitesini ziyaret edebilirsiniz.<\/p>\n
    #Etiketler: AWS Rekognition, y\u00fcz tan\u0131ma, yapay zeka, makine \u00f6\u011frenmesi, mini proje, programlama, cloud computing, boto3, Python, g\u00f6r\u00fcnt\u00fc i\u015fleme, Fatih Soysal,  S3, API
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