Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Detecting Vehicle Type and License Plate Number of different Vehicles on
  Images   With ever increasing number of vehicles, vehicular tracking is one of the
major challenges faced by urban areas. In this paper we try to develop a model
that can locate a particular vehicle that the user is looking for depending on
two factors 1. the Type of vehicle and the 2. License plate number of the car.
The proposed system uses a unique mixture consisting of Mask R-CNN model for
vehicle type detection, WpodNet and pytesseract for License Plate detection and
Prediction of letters in it.

24
The categories of this paper are: dg-ga
30
The categories of this paper are: q-alg
29
The categories of this paper are: funct-an
32
The categories of this paper are: atom-ph
15
The categories of this paper are: nucl-ex
28
The categories of this paper are: alg-geom
0
The categories of this paper are: hep-ph
18
The categories of this paper are: econ
3
The categories of this paper are: physics
36
The categories of this paper are: cmp-lg
5
The categories of this paper are: gr-qc
2
The categories of this paper are: math
16
The categories of this paper are: stat
22
The categories of this paper are: chao-dyn
17
The categories of this paper are: q-fin
20
The categories of this paper are: acc-phys