Hierachical Labels for CAPG-GP dataset

Citation Author(s):
Lovre Antonio
Budimir
Submitted by:
Lovre Budimir
Last updated:
Tue, 10/01/2024 - 10:45
DOI:
10.21227/6f7b-zb10
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Abstract 

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. The training dataset consists of 107 single-product images taken under ideal laboratory conditions, while the testing dataset contains 234 shelf images from two different stores, each showing multiple products captured with a mobile device. Our capg_labels.txt file contains lines where each line consists of a brand_id, instance_class_id, and at least one image_filename.

Instructions: 

Our capg_labels.txt file contains lines where each line consists of a brand id, instance class id, and at least one image filename.

Header: brand_class_id instanace_class_id image_filename_1 [image_filename_2 image_filename_3 ...]