Plan a face detection, analysis, or recognition solution

The Face service provides functionality that you can use for:

1. Face detection – for each detected face, the results include an ID that identifies the face and the bounding box coordinates indicating its location in the image.
2. Face attribute analysis – you can return a wide range of facial attributes, including:
   • Head pose (pitch, roll, and yaw orientation in 3D space)
   • Glasses (No glasses, Reading glasses, Sunglasses, or Swimming Goggles)
   • Mask (the presence of a face mask)
   • Blur (low, medium, or high)
   • Exposure (under exposure, good exposure, or over exposure)
   • Noise (visual noise in the image)
   • Occlusion (objects obscuring the face)
   • Accessories (glasses, headwear, mask)
   • QualityForRecognition (low, medium, or high)
3. Facial landmark location – coordinates for key landmarks in relation to facial features (for example, eye corners, pupils, tip of nose, and so on)
4. Face comparison – you can compare faces across multiple images for similarity (to find individuals with similar facial features) and verification (to determine that a face in one image is the same person as a face in another image)
5. Facial recognition – you can train a model with a collection of faces belonging to specific individuals, and use the model to identify those people in new images.
6. Facial liveness – liveness can be used to determine if the input video is a real stream or a fake to prevent bad-intentioned individuals from spoofing a facial recognition system.

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