Detection of face mask using convolutional neural network-based real-time object detection algorithm you only look once-V4 (YOLO-V4) compared with you only look once-V3 (YOLO-V3) algorithm to improve precision

In contrast to Yolo-v3 and the New Yolo-v4, the research suggested uses a Convolutional Neural Network built on an actual-time entity identification technique to identify facial masking. We present the Yolo-V3 method and compare it to the new Yolo-V4 algorithm. Utilizing G power (80%), the sampling number was determined to be 40, meaning 20 for each group. In terms of statistical significance, the two groups vary by 0.00041 (p