HoloSelecta Dataset

Published: 30 January 2020| Version 2 | DOI: 10.17632/wm83krbf32.2
Contributors:
Tobias Grundmann,
Klaus Fuchs

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., 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).

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Institutions

Eidgenossische Technische Hochschule Zurich

Categories

Computer Vision, Object Detection, Augmented Reality, Empirical Study of User Behavior, Grocery Shopping

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