Grocery Store Dataset

by Marcus Klasson,Cheng Zhang,Hedvig KjellströmUnknown

Grocery Store Dataset

All natural images was taken with a smartphone camera in different grocery stores. We ended up with 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, we have downloaded an iconic image and a product description of the item, where some samples of these can be seen on this page below. The dataset was presented in the paper "A Hierarchical Grocery Store Image Dataset with Visual and Semantic Labels", which will appear at WACV 2019.

Dataset Attributes

Label SVG
TasksClassification
Label SVG
CategoriesGrocery Store Items
Label SVG
Sensor16-megapixel Android smartphone camera