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SNAPMe

Surveying Nutrient Assessment with Photographs of Meals

This repository contains the analytic code and data used for reproducing results and visualizations from the manuscript: https://www.mdpi.com/2072-6643/15/23/4972

Use and Requirements

Each Python script provides addition information on the input and output files.

Python scripts use the following package versions:

  • python==3.8.8
  • pandas==1.4.4
  • nltk==3.7

R scripts use the following package versions:

  • R==4.1.0
  • ggplot2==3.3.5
  • dplyr==1.0.8
  • boot==1.3-28
  • RVAideMemoire==0.90-81-2

Supplemental files

Supplemental files provide additional information:

  • File 1: ingredientized ASA24 food descritpions and which database was used for this process (NA if ingredientization was not done)
  • File 2: predictions for each food photo using the Inverse Cooking algorithm and F1 scores
  • File 3: predictions for each food photo using the Im2Recipe algorithm and F1 scores

Shield: CC BY-SA 4.0

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

CC BY-SA 4.0

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