• Demographics Face Recognition Model

    Predict age, gender, and multicultural appearance for each detected face based on facial characteristics.

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    1,000 free operations monthly.

demographicsWorkflow

 

  • Workflow Information:

    Workflow ID: Demographics

    Workflow Name: Demographics

    Owner: Clarifai

  • Models in this workflow:

    Multicultural Appearance

    Gender Appearance

    Age Appearance

  • Request

    You can call the Predict API with the 'Demographics' model. Simply pass in an image input with a publicly accessible URL or by directly sending image bytes.

    Learn more about the Predict API. API Guide 

  • Response

    The Predict API returns the coordinate location of the bounding box for each detected human face and a list of probability scores on the person’s age appearance (0-2, 3-9, 10-19, 20-29, 30-39, 40-49, 50-59, 60-69, and more than 70), gender appearance (male, female), and multicultural appearance (Middle Eastern, Latino_Hispanic, East Asian, Black, Southeast Asian and Indian, and White).

    The returned ‘bounding_box’ values are the coordinates of the box outlining each face within the image. They are specified as float values between 0 and 1, relative to the image size; the top-left coordinate of the image is (0.0, 0.0), and the bottom-right of the image is (1.0, 1.0). If the original image size is (500 width, 333 height), then the box above corresponds to the box with top-left corner at (208 x, 83 y) and bottom-right corner at (175 x, 139 y). Note that if the image is rescaled (by the same amount in x and y), then box coordinates remain the same. To convert back to pixel values, multiply by the image size, width (for “left_col” and “right_col”) and height (for “top_row” and “bottom_row”).

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