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Budimir

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CAPG Grocery Product (CAPG-GP) is a grocery product dataset with 102 fine-grained classes. We organize these 102 classes into five categories based on brands to create hierarchical labels. The original CAPG-GP dataset was first published in 'Fine-Grained Grocery Product Recognition by One-Shot Learning' by Geng et al. in 2018. The original dataset is publicly available at http://zju-capg.org/capg-gp.html.

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