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<metadata xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:dc="http://purl.org/dc/elements/1.1/"><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:identifier>UDK: 613.2</dc:identifier><dc:identifier>ISSN pri članku: 2296-861X</dc:identifier><dc:identifier>DOI: 10.3389/fnut.2024.1342823</dc:identifier><dc:identifier>COBISS_ID: 190701059</dc:identifier><dc:source>Švica</dc:source><dc:language>sl</dc:language><dc:rights>© 2024 Drole, Pravst, Eftimov and Koroušić
Seljak.</dc:rights></metadata>
