HoloSelecta Dataset (10'035 annotated images of packaged products with GTIN & nutrients)

Published: 24 August 2020| Version 1 | DOI: 10.17632/gz39ggf35n.1
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Description

This dataset contains 295 labelled images for computer vision based detection and identification of packaged products in a vending machine. In addition, the dataset contains data from a user study with 61 participants on the impact of mixed reality headset mediated interventions on food choices. The results indicate that the display of Nutri-Score during the product selection process can alter decisions towards healthier choices. References: - Fuchs K, Haldimann M, Grundmann T, Fleisch E. Supporting food choices in the Internet of People: Automatic detection of diet-related activities and display of real-time interventions via mixed reality headsets. Futur Gener Comput Syst 2020;113:343–62. https://doi.org/10.1016/j.future.2020.07.014. - Fuchs, K., Grundmann, T., Fleisch, E., Towards Identification of Packaged Products via Computer Vision, in The 9th International Conference on the Internet of Things (IoT 2019), Bilbao, Spain. - Fuchs, K., Grundmann, T., Haldimann, M., Fleisch, E., Impact of Mixed Reality Food Labels on Product Selection: Insights from a User Study using Headset-mediated Food Labels at a Vending Machine, in 5th International Workshop on Multimedia Assisted Dietary Management In conjunction with the 27th ACM International Conference on Multimedia (ACMMM2019). We keep a maintained record of labelled image datasets for packaged products in retail environments here: https://github.com/tobiagru/ObjectDetectionGroceryProducts/blob/master/README.md . If you know of relevant datasets that are missing there, please contact team@autoidlabs.ch or request an edit via the link. Please cite: - Fuchs K, Haldimann M, Grundmann T, Fleisch E. Supporting food choices in the Internet of People: Automatic detection of diet-related activities and display of real-time interventions via mixed reality headsets. Futur Gener Comput Syst 2020;113:343–62. https://doi.org/10.1016/j.future.2020.07.014.

Files

Steps to reproduce

Please see Readme folder and related article in Journal of Future Generation Computer Systems

Categories

Computer Vision, Food Composition Databases

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