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MOBDrone: a large-scale drone-view dataset for man overboard detection

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Publication Date:
2022
abstract:
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.
Iris type:
05.10 Dataset
Keywords:
Object detection; Drone-view dataset; Deep learning; Man overboard detection; Man overboard dataset
List of contributors:
Ciampi, Luca; Cafarelli, Donato; Gennaro, Claudio; Passera, Mirko; Berton, Andrea; Falchi, Fabrizio; Benvenuti, Chiara; Vadicamo, Lucia; Paterni, Marco
Authors of the University:
BENVENUTI CHIARA
BERTON ANDREA
CIAMPI LUCA
FALCHI FABRIZIO
GENNARO CLAUDIO
PASSERA MIRKO
PATERNI MARCO
VADICAMO LUCIA
Handle:
https://iris.cnr.it/handle/20.500.14243/429481
Full Text:
https://iris.cnr.it//retrieve/handle/20.500.14243/429481/101485/prod_467562-doc_184050.pdf
  • Overview

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URL

https://zenodo.org/record/5996890#.YpDLJiNBwUQ
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