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Face Detection

Description​

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Face Detection Example

Face detection is a tool that allows the user to detect faces in images using varieties of methods, it is useful for security applications.

Settings​

Detection Model​

The detection model is the type of model that will be used to detect the faces in the images.

Supported Methods​

Here are the supported methods:

  • YuNet

    • A lightweight face detection model that is designed for edge devices.
    • Slow inference speed, but high accuracy.

  • OpenCV - TensorFlow

    • A face detection model that is based on the TensorFlow framework.
    • Slow inference speed, but high accuracy.

  • LBP Cascade

    • A face detection model that is based on the Local Binary Pattern (LBP) algorithm.
    • Fast inference speed, but low accuracy.

  • HAAR Cascade

    • Fast inference speed, but low accuracy.

NMS Threshold​

YuNET OpenCV - TensorFlow

The NMS threshold is the minimum threshold for non-maximum suppression. Non-maximum suppression is a technique used to reduce the number of bounding boxes by removing the ones that overlap too much with other bounding boxes. A lower NMS threshold will result in fewer bounding boxes, but with potentially higher accuracy, whereas a higher threshold will result in more bounding boxes, but with lower accuracy.

Confidence Threshold​

YuNET OpenCV - TensorFlow

The confidence threshold is the minimum confidence score a face detection should have to be considered valid. Face detections with confidence scores below this threshold will be discarded. A higher confidence threshold will result in fewer face detections, but with higher accuracy, whereas a lower threshold will result in more face detections, but with potentially lower accuracy.

Top K Value​

YuNET

The top K value is the maximum number of face detections that will be returned, before NMS. A higher top K value will result in more face detections, but with potentially lower accuracy, whereas a lower top K value will result in fewer face detections, but with higher accuracy.

Display Results​

Overlay Results​

Whether to draw the results on top of the image frame.