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Achieve an increased accuracy in face detection, using Tensorflow ML Object Detection model using Tensorflow and Watson Visual Recognition.
Augment Visual Recognition Face Detection
Face recognition owns significant consideration and is appreciated as one of the most promising applications in the field of image analysis. However, a robust face recognition requires the ability to recognise identity despite many variations in appearance that the face can have in a scene. To achieve an increased accuracy in face detection, we can take the cases where a face detection algorithm fails and append an ML Object Detection model using Tensorflow, to detect the failed cases, by treating them as an object.
Artificial Intelligence