Short description of dataset and use case(s): This repository contains the dataset of natural images of grocery items. 5125 natural images from 81 different classes of fruits, vegetables, and carton items (e.g. juice, milk, yoghurt). The 81 classes are divided into 42 coarse-grained classes, where e.g. the fine-grained classes 'Royal Gala' and 'Granny Smith' belong to the same coarse-grained class 'Apple'. For each fine-grained class, there is an iconic image and a product description of the item. The dataset was presented in the paper "A Hierarchical Grocery Store Image Dataset with Visual and Semantic Labels", at WACV 2019.
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Folks who would also like to see this dataset in
tensorflow/datasets
, please thumbs-up so the developers can know which requests to prioritize.And if you'd like to contribute the dataset (thank you!), see our guide to adding a dataset.