The Predict API returns the coordinate location of the bounding box for the detected human face and a list of probability scores on the likelihood that the detected face is the face of a recognized celebrity.
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”).
Gather valuable business insights from images, text and data using machine learning, natural language processing and computer vision.
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Create your own model and teach it with your own images and concepts.
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