The MAMe dataset: on the relevance of high resolution and variable shape image properties

The mostcommon approach in image classification tasks is to resize all images in the dataset to a unique shape, while reducing their resolution to a size that makes experimentation at scale easier. This practice has benefits from a computational perspective, but it entails negative side-effects on p...

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Veröffentlicht in:	Applied intelligence (Dordrecht, Netherlands) Netherlands), 2022-08, Vol.52 (10), p.11703-11724
Hauptverfasser:	Parés, Ferran, Arias-Duart, Anna, Garcia-Gasulla, Dario, Campo-Francés, Gema, Viladrich, Nina, Ayguadé, Eduard, Labarta, Jesús
Format:	Artikel
Sprache:	eng
Schlagworte:	Artificial Intelligence Classification Computer Science Datasets Deformation effects Experimentation High resolution Image classification Image resolution Machines Manufacturing Mechanical Engineering Museums Processes
Online-Zugang:	Volltext
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