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Dataset . 2022
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Dataset . 2022
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Dataset . 2022
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ARGO ship classification dataset

Authors: Moser, Elisabeth; Meyer, Selina; Schmidhuber, Maximilian; Ketterer, Daniel; Eberhardt, Matthias;

ARGO ship classification dataset

Abstract

The ARGO ship classification dataset holds 1750 labelled images from PlanetScope-4-Band satelites. The dataset creation process and results on the dataset are published in the demo paper: {CITE} The imagery is provided as numpy binary files. All image data is licensed by Planet Labs PBC. The channel ordering is BGRN. The dataset is provided in two folders named "ship" and "non_ship". Those folders correspond to the original labels created during automated dataset creation. The files are numbered. Two additional .csv files are provided. The shipsAIS_2017_Zone17.csv file holds the AIS information on the imagery contained in the ship folder. The data was retrieved from marinecadastre.gov. During the experiments errors in the automatically created dataset emerged which are further described in the paper. The manual relabelling is supplied in the corrected_labels.csv file.

{"references": ["Planet Team. Planet application program interface: In space for life on earth, 2017\u2013", "BOEM and NOAA. Bureau of Ocean Energy Management (BOEM) and National Oceanic and Atmospheric Admin- istration (NOAA): \"MarineCadastre.gov - AIS\". https: //marinecadastre.gov/ais/."]}

Keywords

remote sensing, ship, classification, satellite, vessel

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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.
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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
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