Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Face Mask Detection using Transfer Learning of InceptionV3   The world is facing a huge health crisis due to the rapid transmission of
coronavirus (COVID-19). Several guidelines were issued by the World Health
Organization (WHO) for protection against the spread of coronavirus. According
to WHO, the most effective preventive measure against COVID-19 is wearing a
mask in public places and crowded areas. It is very difficult to monitor people
manually in these areas. In this paper, a transfer learning model is proposed
to automate the process of identifying the people who are not wearing mask. The
proposed model is built by fine-tuning the pre-trained state-of-the-art deep
learning model, InceptionV3. The proposed model is trained and tested on the
Simulated Masked Face Dataset (SMFD). Image augmentation technique is adopted
to address the limited availability of data for better training and testing of
the model. The model outperformed the other recently proposed approaches by
achieving an accuracy of 99.9% during training and 100% during testing.

15
The categories of this paper are: nucl-ex
4
The categories of this paper are: cond-mat
6
The categories of this paper are: astro-ph
31
The categories of this paper are: ao-sci
29
The categories of this paper are: funct-an
22
The categories of this paper are: chao-dyn
32
The categories of this paper are: atom-ph
3
The categories of this paper are: physics
27
The categories of this paper are: comp-gas
0
The categories of this paper are: hep-ph
21
The categories of this paper are: adap-org
17
The categories of this paper are: q-fin
25
The categories of this paper are: patt-sol
20
The categories of this paper are: acc-phys
10
The categories of this paper are: q-bio
18
The categories of this paper are: econ