How clickable are your food photos?

2018-10-11
Kumdakçı, Hilmi
Taşkaya Temizel, Tuğba
Temizel, Alptekin
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Many people view the food photos available in social media when choosing a restaurant. The attractiveness of these photos is an important factor in shaping initial impressions about a restaurant. There are some properties such as colour harmony, colour balance, and content of an image which constitutes the aesthetics of an image. Although there are several works on predicting image aesthetics, our experiments showed that the aesthetic scores and view numbers of food images are not correlated. In this work, we developed a neural network model which aims to predict the clickability of a food photo. We have created a new dataset by scraping the images and their view number information from Flickr and achieved 65% accuracy in estimating images which gets a high number of clicks
https://hdl.handle.net/11511/83697
GPU Technology Conference Europe (2018)
Graduate School of Informatics, Conference / Seminar

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Citation Formats
H. Kumdakçı, T. Taşkaya Temizel, and A. Temizel, “How clickable are your food photos?,” presented at the GPU Technology Conference Europe (2018), Munich, Germany, 2018, Accessed: 00, 2021. [Online]. Available: https://hdl.handle.net/11511/83697.
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