Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: MOBDrone: a Drone Video Dataset for Man OverBoard Rescue   Modern Unmanned Aerial Vehicles (UAV) equipped with cameras can play an
essential role in speeding up the identification and rescue of people who have
fallen overboard, i.e., man overboard (MOB). To this end, Artificial
Intelligence techniques can be leveraged for the automatic understanding of
visual data acquired from drones. However, detecting people at sea in aerial
imagery is challenging primarily due to the lack of specialized annotated
datasets for training and testing detectors for this task. To fill this gap, we
introduce and publicly release the MOBDrone benchmark, a collection of more
than 125K drone-view images in a marine environment under several conditions,
such as different altitudes, camera shooting angles, and illumination. We
manually annotated more than 180K objects, of which about 113K man overboard,
precisely localizing them with bounding boxes. Moreover, we conduct a thorough
performance analysis of several state-of-the-art object detectors on the
MOBDrone data, serving as baselines for further research.

7
The categories of this paper are: hep-th
12
The categories of this paper are: nucl-th
17
The categories of this paper are: q-fin
30
The categories of this paper are: q-alg
35
The categories of this paper are: mtrl-th
13
The categories of this paper are: quant-ph
11
The categories of this paper are: hep-lat
25
The categories of this paper are: patt-sol
36
The categories of this paper are: cmp-lg
14
The categories of this paper are: math-ph
9
The categories of this paper are: nlin
2
The categories of this paper are: math
16
The categories of this paper are: stat
27
The categories of this paper are: comp-gas
10
The categories of this paper are: q-bio
28
The categories of this paper are: alg-geom