<?xml version="1.0"?>
<rdf:RDF xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:dc="http://purl.org/dc/elements/1.1/"><rdf:Description rdf:about="https://dirros.openscience.si/IzpisGradiva.php?id=18810"><dc:title>NutriGreen image dataset</dc:title><dc:creator>Drole,	Jan	(Avtor)
	</dc:creator><dc:creator>Pravst,	Igor	(Avtor)
	</dc:creator><dc:creator>Eftimov,	Tome	(Avtor)
	</dc:creator><dc:creator>Koroušić-Seljak,	Barbara	(Avtor)
	</dc:creator><dc:description>In this research, we introduce the NutriGreen dataset, which is a collection of images representing branded food products aimed for training segmentation models for detecting various labels on food packaging. Each image in the dataset comes with three distinct labels: one indicating its nutritional quality using the Nutri-Score, another denoting whether it is vegan or vegetarian origin with the V-label, and a third displaying the EU organic certification (BIO) logo.</dc:description><dc:publisher>Frontiers</dc:publisher><dc:date>2024</dc:date><dc:date>2024-04-23 09:49:54</dc:date><dc:type>Neznano</dc:type><dc:identifier>18810</dc:identifier><dc:source>Švica</dc:source><dc:language>sl</dc:language><dc:rights>© 2024 Drole, Pravst, Eftimov and Koroušić
Seljak.</dc:rights></rdf:Description></rdf:RDF>