Data for: Can People Accurately Estimate the Calories in Food Images? An Optimised Set of Low- and High-Calorie Images from the Food-pics Database

Published: 11 May 2019 | Version 1 | DOI: 10.17632/dj67wj2syj.1

Description of this data

Average calorie estimations, average weight estimations, recognisability, liking, and healthiness ratings of 178 high and 182 low calorie foods from the Food-pics database (Blechert et. al, 2014). Rated by eight hundred and forty psychology undergraduate students studying in Australia (aged 16-60, 64% female).

Experiment data files

This data is associated with the following publication:

Can People Accurately Estimate the Calories in Food Images? An Optimised Set of Low- and High- Calorie Images from the food-pics database

Published in: Appetite

Latest version

  • Version 1

    2019-05-11

    Published: 2019-05-11

    DOI: 10.17632/dj67wj2syj.1

    Cite this dataset

    Horne, Dielle; Neumann, Markus; Housley, Regan; Bell, Jason; Palermo, Romina (2019), “Data for: Can People Accurately Estimate the Calories in Food Images? An Optimised Set of Low- and High-Calorie Images from the Food-pics Database”, Mendeley Data, v1 http://dx.doi.org/10.17632/dj67wj2syj.1

Statistics

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Downloads: 10

Categories

Perception

Licence

CC BY 4.0 Learn more

The files associated with this dataset are licensed under a Creative Commons Attribution 4.0 International licence.

What does this mean?

This dataset is licensed under a Creative Commons Attribution 4.0 International licence. What does this mean? You can share, copy and modify this dataset so long as you give appropriate credit, provide a link to the CC BY license, and indicate if changes were made, but you may not do so in a way that suggests the rights holder has endorsed you or your use of the dataset. Note that further permission may be required for any content within the dataset that is identified as belonging to a third party.

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