Authors :
Mukul Kumar Vishwas; Petr Menshanov; Aleksey Okunev
Volume/Issue :
Volume 6 - 2021, Issue 4 - April
Google Scholar :
http://bitly.ws/9nMw
Scribd :
https://bit.ly/3vcIA6P
Abstract :
This paper described and compare between
two object detection model for face mask detection.
Using object detection we can predicts if the person on
the picture wearing the mask correctly/incorrectly or
not, in the current situation this model is extremely
useful as this simple precaution will help to stop the
spreading of deadly Coronavirus. In this paper, a
comprehensive description of two operational and
functional model was discussed how the data flows in
the model and the type of operation performed on that.
Additionally how the input data annotated and the
result. The result was described usingthe mAP metric.
Keywords :
MMdetection, Detectron2, COVID-19, Object Detection, Coronavirus, mAP
This paper described and compare between
two object detection model for face mask detection.
Using object detection we can predicts if the person on
the picture wearing the mask correctly/incorrectly or
not, in the current situation this model is extremely
useful as this simple precaution will help to stop the
spreading of deadly Coronavirus. In this paper, a
comprehensive description of two operational and
functional model was discussed how the data flows in
the model and the type of operation performed on that.
Additionally how the input data annotated and the
result. The result was described usingthe mAP metric.
Keywords :
MMdetection, Detectron2, COVID-19, Object Detection, Coronavirus, mAP