{"id":57624,"date":"2021-02-12T11:10:26","date_gmt":"2021-02-12T10:10:26","guid":{"rendered":"https:\/\/www.clickworker.com\/?page_id=57624"},"modified":"2022-08-31T09:37:36","modified_gmt":"2022-08-31T08:37:36","slug":"photo-data-sets-face-recognition-training","status":"publish","type":"page","link":"https:\/\/www.clickworker.com\/case-studies\/photo-data-sets-face-recognition-training\/","title":{"rendered":"Photo data sets for online face recognition training"},"content":{"rendered":"
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Photo datasets for training a software to perform automated online identity verification via facial recognition<\/h1>\r\n <\/div>\r\n <\/div>\r\n
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\r\n \"Photo\r\n <\/div>\r\n
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Case study \u2013 Provision of thousands of photosets of respectively one person, covering a period of min. 5 years to max. 20 years.<\/strong><\/p>\r\n

Thousands of Clickworkers from various continents send numerous photos, in each of which their own face is clearly visible. These photos have been digitally created within a period of min. 5 years to max. 20 years in the past. With these photosets, an international software company is now able to train an AI system capable of clearly recognizing and identifying faces of all ethnicities and genders over the course of a lifetime.\r\n <\/p>\r\n\r\n <\/i> Get in touch with us!<\/a>\r\n\t\t\t\t\t\t\r\n\t\t\t\t\t\t <\/i> +1 (212) 878-6686<\/a>\r\n <\/i> +49 201 95971830<\/a>\r\n \r\n\r\n <\/div>\r\n <\/div>\r\n <\/div>\r\n<\/section>\r\n\r\n\r\n\t

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\r\n\t \"Photo\r\n\t <\/div>\r\n\t
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The Challenge<\/h2>\r\n\t

AI facial recognition systems are increasingly being used to leverage the uniqueness of a face as a biometric factor for identity verification and authentication in online login processes. The growing use of biometric facial recognition for the purpose of authentication is primarily based on the fact that, unlike traditional solutions such as verification emails, passwords, fingerprints or even simple selfies, it uses unique mathematical and dynamic patterns. As a result, it is one of the most reliable authentication systems.<\/p>\r\n\t

\r\n\t The algorithms on which these AI systems are based must be trained with an enormous amount of data in the form of photographs and\/or videos of people, until they are able to identify people unambiguously and without error on the basis of their faces using a machine learning process.\r\n\t <\/p>\r\n\t

During the learning process, a multilayer neural network is used to process the training data. This network adjusts its face recognition parameters until a person can be clearly identified. This learning process requires not only large amounts of photographs and videos of people, but also a wide variety of people depicted, corresponding to the diversity of people in the regions where the system will be deployed. In addition, in order to train a biometric face recognition system, the training data must consist of photos of people whose faces can be seen in different sizes and from various perspectives and angles. When training the system, one must also keep in mind that when it is used to authenticate people, it must be able to recognize a face at all times, even if the face changes naturally over the years, sometimes to a greater or lesser extent.<\/p>\r\n\t <\/div>\r\n\t <\/div>\r\n\r\n\t

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The Solution<\/h2>\r\n\t

We set up a custom-fit project on our in-house online platform in close consultation with the customer. This results in paid jobs\/tasks for our registered crowdworkers, so-called Clickworkers. These tasks are made visible for 850,000 Clickworkers who match the demographics specified by the client.\r\n\t <\/p>\r\n\t

Thousands of Clickworkers work on the project in accordance with the instructions obtained from the concise and descriptive task briefing. After specifying their ethnicity, the first step for each Clickworker who has accepted the task involves creating two new, short videos of themselves. In this case, they film their face, 1x with and 1x without glasses. While doing so, they slowly move their head in all directions and say a short sentence.<\/p>\r\n

\r\n In the second step, each of the Clickworkers upload these two videos, as well as 60 to 200 existing digital photos of themselves \u2014 where their face is clearly recognizable \u2014 as a set to our platform. None of the photos from the set were taken on the same day, no photo is repeated, and covered in total a time period of min. 5 years to max. 20 years. The photos differ in terms of perspective or angle from which the person\u2019s face is seen, styling (e.g. hairstyle, clothing, glasses, makeup), facial expression, and lighting conditions. \r\n <\/p>\r\n

\r\n To ensure the correct implementation of the specifications, all the uploaded videos and photos are checked by our quality management team and selected accordingly. After being checked, the flawless sets are then transferred to the customer directly via an API connection. \r\n <\/p>\r\n

\r\n This provides the software developer with over 300,000 photos of faces and over 6,000 high diversity videos promptly and efficiently. The software company uses this data as training data to train an AI system to clearly recognize faces until the error rate approaches zero and the system can be used for secure online authentication.\r\n <\/p>\r\n

More information about our \u201cPhoto datasets for training facial recognition software<\/a>\u201d service<\/p>\r\n\t <\/div>\r\n\t

\r\n\t \"Photo\r\n\t <\/div>\r\n\t <\/div>\r\n\r\n\t <\/div>\r\n\t<\/section>\r\n\t\r\n
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Project Data<\/h2>\r\n <\/div>\r\n <\/div>\r\n
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  • Number of photos:<\/strong>>300.000 photos (50 \u2013 200 per Clickworker\/set)<\/li>\r\n
  • Time frame of the photos:<\/strong>Photos should cover a period of min. 5 years to max. 20 years per set and about 10 diverse photos per year.<\/li>\r\n
  • Number of videos:<\/strong> >6.000 (2 pro Clickworker\/set) of approx. 30 seconds each<\/li>\r\n
  • Proportion of Clickworkers per ethnicities:<\/strong> Africa 20%, South Asia 20%, Far East 20%, Latin America 20%, Caucasia 10%, Other 10%.<\/li>\r\n
  • Photo format and size:<\/strong> Minimum size of the depicted head on the photos: 200 x 200 pixels, jpg or heic, landscape or portrait format<\/li>\r\n
  • Interface versions of jobs:<\/strong> Clickworker App (Smartphone Version)
    Clickworker Workplace (Desktop Version)<\/li>\r\n\r\n\r\n\r\n\r\n
  • Tasks:<\/strong>\r\n
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    • 1. Specifications regarding own ethnicity (via dropdown selection)<\/li>\r\n
    • 2. Creation of two short portrait selfie videos with and without glasses (approx. 30 seconds each)<\/li>\r\n
    • 3. Provision\/upload of 60 \u2013 200 photos from the mentioned period of time, on which their face is easy to recognize<\/li>\r\n
    • 4. Reading confirmation and declaration of consent of the job terms and conditions<\/li>\r\n <\/ul>\r\n\r\n <\/li>\r\n
    • Quality assurance:<\/strong> Quality check by clickworker\u2019s quality management team<\/li>\r\n
    • Data transfer:<\/strong> Data transfer via API<\/li>\r\n <\/ul>\r\n <\/div>\r\n\r\n
      \r\n \"Face\r\n <\/div>\r\n <\/div>\r\n <\/div>\r\n <\/div>\r\n\r\n <\/div>\r\n\r\n
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      The Project Workflow \u2014 In Brief<\/h2>\r\n
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      1. \r\n Project meeting with the customer. The resulting tasks are defined and recorded in a precise briefing for the Clickworkers.\r\n <\/li>\r\n
      2. \r\n clickworker sets up the project. The photo creation tasks become visible as individual jobs on the clickworker platform for qualified Clickworkers.\r\n <\/li>\r\n
      3. Processing of the jobs by Clickworkers. Numerous Clickworkers of the specified ethnicities accept the jobs in parallel, create the photos and videos according to the briefing, and upload them to the clickworker platform with the required information.<\/li>\r\n
      4. The clickworker quality management team checks the photos and videos for compliance with the specifications\/briefing.<\/li>\r\n
      5. Transmission of all correct photo sets with videos to the customer via an API connection.<\/li>\r\n <\/ol>\r\n <\/div>\r\n <\/div>\r\n <\/div>\r\n<\/section>\t\r\n\t
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        \r\n\t \"Speech\r\n\t <\/div>\r\n\t
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        Benefits<\/h2>\r\n\t
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        • Quick acquisition of high diversity and high quality application specific AI training data<\/li>\r\n\t
        • Global data sourcing and market coverage across all continents<\/li>\r\n\t
        • International diversity of photographs of people \u2014 access to a broad-based crowd from all ethnic origins, ages and genders<\/li>\r\n\t
        • Managed Service \u2013 Customer-specific project implementation and execution<\/li>\r\n\t
        • Personal contact and advice<\/li>\r\n\t
        • Quality assured results<\/li>\r\n\t
        • Easy data transfer<\/li>\r\n
        • Scaleable throughput<\/li>\r\n\t <\/ul>\r\n\t <\/div>\r\n\t <\/div>\r\n\t <\/div>\r\n\t<\/section>\r\n\t
          <\/div>","protected":false},"excerpt":{"rendered":"

          Photo datasets for training a software to perform automated online identity verification via facial recognition Case study \u2013 Provision of thousands of photosets of respectively one person, covering a period of min. 5 years to max. 20 years. Thousands of Clickworkers from various continents send numerous photos, in each of which their own face is […]<\/p>\n","protected":false},"author":5,"featured_media":0,"parent":31877,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"blank_with_breadcrumb.php","meta":{"footnotes":""},"yoast_head":"\nPhoto Data Sets - Online - Face recognition - Training<\/title>\n<meta name=\"description\" content=\"Photo data sets for training a software to perform automated online identity verification via facial recognition \/ face recognition\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.clickworker.com\/case-studies\/photo-data-sets-face-recognition-training\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Photo Data Sets - Online - Face recognition - Training\" \/>\n<meta property=\"og:description\" content=\"Photo data sets for training a software to perform automated online identity verification via facial recognition \/ face recognition\" \/>\n<meta property=\"og:url\" content=\"https:\/\/www.clickworker.com\/case-studies\/photo-data-sets-face-recognition-training\/\" \/>\n<meta property=\"og:site_name\" content=\"clickworker.com\" \/>\n<meta property=\"article:modified_time\" content=\"2022-08-31T08:37:36+00:00\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data1\" content=\"6 minutes\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\/\/www.clickworker.com\/case-studies\/photo-data-sets-face-recognition-training\/\",\"url\":\"https:\/\/www.clickworker.com\/case-studies\/photo-data-sets-face-recognition-training\/\",\"name\":\"Photo Data Sets - 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