MOBDrone: a large-scale drone-view dataset for man overboard detection
Cafarelli D., Ciampi L., Vadicamo L., Gennaro C., Berton A., Paterni M., Benvenuti C., Passera M., Falchi F.
Object detection Drone-view dataset Deep learning Man overboard detection Man overboard dataset
The Man OverBoard Drone (MOBDrone) dataset is a large-scale collection of aerial footage images. It contains 126,170 frames extracted from 66 video clips gathered from one UAV flying at an altitude of 10 to 60 meters above the mean sea level. Images are manually annotated with more than 180K bounding boxes localizing objects belonging to 5 categories --- person, boat, lifebuoy, surfboard, wood. More than 113K of these bounding boxes belong to the person category and localize people in the water simulating the need to be rescued.
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@misc{oai:it.cnr:prodotti:467562,
title = {MOBDrone: a large-scale drone-view dataset for man overboard detection},
author = {Cafarelli D. and Ciampi L. and Vadicamo L. and Gennaro C. and Berton A. and Paterni M. and Benvenuti C. and Passera M. and Falchi F.},
year = {2022}
}Benvenuti, Chiara
Berton, Andrea
Cafarelli, Donato
0000-0002-7575-0143
Ciampi, Luca0000-0002-6985-0439
Falchi, Fabrizio0000-0001-6258-5313
Gennaro, Claudio0000-0002-3715-149X
Passera, Mirko
Paterni, Marco
Vadicamo, Lucia0000-0001-7182-7038
Artificial Intelligence for Media and Humanities (2021-ongoing)
