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PlateMate: Crowdsourcing Nutrition Analysis from …
- https://people.csail.mit.edu/hqz/papers/platemate.pdf
- this paper makes three main contributions: 1.we present platemate, an end-to-end system for crowd- sourced nutrition analysis from food photographs. 2.we discuss the results of a two-part evaluation, which sug- gests platemate can be as accurate as experts and self- report methods, and more usable than manual logging for everyday use. 3.we …
PlateMate: Crowdsourcing nutrition analysis from food …
- https://www.scholars.northwestern.edu/en/publications/platemate-crowdsourcing-nutrition-analysis-from-food-photographs
- PlateMate crowdsources nutritional analysis from photographs using Amazon Mechanical Turk, automatically coordinating untrained workers to estimate a meal's calories, fat, carbohydrates, and protein. We present the Management framework for crowdsourcing complex tasks, which supports PlateMate's nutrition analysis workflow.
PlateMate: Crowdsourcing Nutrition Analysis from Food …
- https://econcs.seas.harvard.edu/publications/platemate-crowdsourcing-nutrition-analysis-food-photographs
- Jon Noronha, Eric Hysen, Haoqi Zhang, and Krzysztof Z. Gajos. 2011. “PlateMate: Crowdsourcing Nutrition Analysis from Food Photographs.” In Proceedings of the ACM Symposium on User Interface Software and Technology (UIST '11). Download Download Citation BibTex Tagged XML
Platemate: crowdsourcing nutritional analysis from food …
- https://dl.acm.org/doi/10.1145/2047196.2047198
- PlateMate crowdsources nutritional analysis from photographs using Amazon Mechanical Turk, automatically coordinating untrained workers to estimate a meal's calories, fat, carbohydrates, and protein. We present the Management framework for crowdsourcing complex tasks, which supports PlateMate's nutrition analysis workflow.
PlateMate: Crowdsourcing Nutrition Analysis from Food …
- http://www.eecs.harvard.edu/~kgajos/papers/2011/noronha11platemate.shtml
- PlateMate crowdsources nutritional analysis from photographs using Amazon Mechanical Turk, automatically coordinating untrained workers to estimate a meal's calories, fat, carbohydrates, and protein. We present the Management framework for crowdsourcing complex tasks, which supports PlateMate's decomposition of the nutrition analysis workflow.
PlateMate: Crowdsourcing nutrition analysis from food …
- https://www.researchgate.net/publication/220876943_PlateMate_Crowdsourcing_nutrition_analysis_from_food_photographs
- PlateMate crowdsources nutritional analysis from photographs using Amazon Mechanical Turk, automatically coordinating untrained workers to estimate a meal's calories, fat, …
Platemate: crowdsourcing nutritional analysis from food …
- https://www.semanticscholar.org/paper/Platemate%3A-crowdsourcing-nutritional-analysis-from-Noronha-Hysen/632ffa1766498ba20a5e00138a891ba11520d35c/figure/0
- Figure 1: The PlateMate user interface. Users upload photographs of their meals, which are processed through Mechanical Turk to produce a list of foods, serving sizes, and nutrition information. - "Platemate: crowdsourcing nutritional analysis from food photographs"
Platemate: Crowdsourcing nutrition analysis from food …
- https://core.ac.uk/display/21828640
- PlateMate crowdsources nutritional analysis from photographs using Amazon Mechanical Turk, automatically coordinating untrained workers to estimate a meal’s calories, fat, carbohydrates, and protein. We present the Management framework for crowdsourcing complex tasks, which supports PlateMate’s nutrition analysis workflow.
PlateMate crowd-sources nutritional analysis of users' meals
- https://newatlas.com/platemate-crowd-sourced-dieting/20365/
- November 02, 2011 PlateMate is a crowd-sourced dieting system, in which an online community determines the caloric value of users' meals View 1 Images While there are a great many people who want...
Calorie Estimation From Pictures of Food: Crowdsourcing …
- https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6246963/
- The aim of this study was to determine the accuracy of crowdsourced annotations of calorie content in food images and to identify and quantify sources of bias and noise as a function of respondent characteristics and food qualities …
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