FACEMASK DETECTOR (YOLOV4)

Brief Introduction

This model detects the wearing / non-wearing or improper wearing of a medical mask.

Number of classes

3 class: (without Mask, with Mask, mask Weared Incorrect)

I created this model back in 2021, so it's not a cutting-edge solution. Also, because it's an older model, it's large in size and not suitable for running a demo in a browser, so there isn't a demo available for it. 

Metrics

detections_count = 883, unique_truth_count = 496

class_id = 0, name = withoutMask, ap = 81.00% (TP = 60, FP = 16)

class_id = 1, name = withMask, ap = 92.71% (TP = 373, FP = 31)

class_id = 2, name = maskWearedIncorrect, ap = 77.35% (TP = 13, FP = 8)

for conf_thresh = 0.25, precision = 0.89, recall = 0.90, F1-score = 0.89

for conf_thresh = 0.25, TP = 446, FP = 55, FN = 50, average IoU = 73.17 %

IoU threshold = 50 %, used Area-Under-Curve for each unique Recall

mean average precision (mAP@0.50) = 0.836853, or 83.69 %

License

By purchasing or downloading any project, you agree to the full license terms, which you can view here: LINK