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ZENODO
Dataset . 2021
License: CC BY
Data sources: ZENODO
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2021
License: CC BY
Data sources: Datacite
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ABOships

Authors: Iancu, Bogdan; Soloviev, Valentin; Zelioli, Luca; Lilius, Johan;
Abstract

The ABOships dataset consists of 9880 inshore and offshore images of maritime objects, belonging to one of the following categories: boat, cargoship, cruiseship, ferry, militaryship, miscboat, miscellaneous, motorboat, passengership, sailboat, seamark. Example images and definitions of these categories can be found in the reference paper. The total number of annotated objects is 41,967 and includes 9 types of ships. The images were acquired from a collection of videos (format MPEG, with 720 p resolution at 15 FPS), extracting one image at every 15 s (or every 225 frames). The videos were acquired in the Finnish Archipelago, from a camera attached to a moving watercraft (waterbus – vesibussi in Finnish). The representation of labels for each category in the dataset is given by the following percentages, i.e. the percentage of images that include objects in each label category: seamark (37.89%), boat (20.58%), sailboat (38.88%), motorboat (41.11%), passengership (26.71%), cargoship (1.58%), ferry (9.56%), miscboat (28.30%), miscellaneous (1.30%), militaryship (25.90%), cruiseship (13.63%). A more detailed description of the datasets and instructions can be found in the PDF description file.

{"references": ["Iancu, B.; Soloviev, V.; Zelioli, L.; Lilius, J. ABOships\u2014An Inshore and Offshore Maritime Vessel Detection Dataset with Precise Annotations. Remote Sens. 2021, 13, 988. https://doi.org/10.3390/rs13050988"]}

Keywords

Maritime vessel dataset, ship detection, autonomous marine navigation, ship dataset, maritime vessel detection, maritime imagery

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
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Average
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