Creation and Evaluation of a Food Product Image Dataset for Product Property Extraction

Christoph Brosch, Alexander Bouwens, Sebastian Bast, Swen Haab, Rolf Krieger

2023

Abstract

The enormous progress in the field of artificial intelligence (AI) enables retail companies to automate their processes and thus to save costs. Thereby, many AI-based automation approaches are based on machine learning and computer vision. The realization of such approaches requires high-quality training data. In this paper, we describe the creation process of an annotated dataset that contains 1,034 images of single food products, taken under studio conditions, annotated with 5 class labels and 30 object detection labels, which can be used for product recognition and classification tasks. We based all images and labels on standards presented by GS1, a global non-profit organisation. The objective of our work is to support the development of machine learning models in the retail domain and to provide a reference process for creating the necessary training data.

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Paper Citation


in Harvard Style

Brosch C., Bouwens A., Bast S., Haab S. and Krieger R. (2023). Creation and Evaluation of a Food Product Image Dataset for Product Property Extraction. In Proceedings of the 12th International Conference on Data Science, Technology and Applications - Volume 1: DATA; ISBN 978-989-758-664-4, SciTePress, pages 488-495. DOI: 10.5220/0012132400003541


in Bibtex Style

@conference{data23,
author={Christoph Brosch and Alexander Bouwens and Sebastian Bast and Swen Haab and Rolf Krieger},
title={Creation and Evaluation of a Food Product Image Dataset for Product Property Extraction},
booktitle={Proceedings of the 12th International Conference on Data Science, Technology and Applications - Volume 1: DATA},
year={2023},
pages={488-495},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012132400003541},
isbn={978-989-758-664-4},
}


in EndNote Style

TY - CONF

JO - Proceedings of the 12th International Conference on Data Science, Technology and Applications - Volume 1: DATA
TI - Creation and Evaluation of a Food Product Image Dataset for Product Property Extraction
SN - 978-989-758-664-4
AU - Brosch C.
AU - Bouwens A.
AU - Bast S.
AU - Haab S.
AU - Krieger R.
PY - 2023
SP - 488
EP - 495
DO - 10.5220/0012132400003541
PB - SciTePress