Facemask Detection using MMdetection Toolbox

Mukul Kumar Vishwas; Petr Menshanov; Aleksey Okunev1

1

Publication Date: 2021/05/22

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

DOI: No DOI Available

PDF: https://ijirst.demo4.arinfotech.co/assets/upload/files/IJISRT21APR432.pdf

REFERENCES

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