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@@ -179,6 +179,7 @@ <h3 style="font-weight:600; font-family: sans-serif;"> About Dataset <div style=
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Fuel or pleasure, food is present in our everyday lives and some would say, defines who we are: <em> Tell me what you eat, and I will tell you who you are</em>.
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Food pictures continuously flood the internet and the machine learning community has long been scraping the web to build models that identify food on images.
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The resulting food datasets have been invaluable for the purpose of food classification, but unfortunately do not allow us to explore the humam dimension. The
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MLEnd Yummy Dataset is a collection of more than 3,000 enriched images that opens a window to our relationship as humans with food. This dataset was created
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by students at the School of Electronic Engineering and Computer Science, Queen Mary University of London. Students took pictures of dishes that they were about
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to eat and then annotated them, adding attributes such as the dish name, ingredients, whether they liked their food or not, or whether they had them at
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home or at a particular restaurant.
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The resulting datasets have been invaluable for the purpose of food classification, but unfortunately do not allow us to explore the humam dimension. The
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MLEnd Yummy Dataset is a collection of more than 3,000 enriched images from more than 200 participants that opens a window to our relationship as humans with food.
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This dataset was created by students at the School of Electronic Engineering and Computer Science, Queen Mary University of London. Students took pictures
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of dishes that they were about to eat, ate them and then annotated each pucture, adding attributes such as the dish name, ingredients, whether they liked their
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food or not, or whether they had them at home or at a particular restaurant.
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