Dish-ID: A neural-based method for ingredient extraction and further recipe suggestion

Ilya Shchuka, Saydash Miftakhov, Vladislav Patrushev, Maria Tikhonova, Alena Fenogenova

Результат исследования: Публикации в книгах, отчётах, сборниках, трудах конференцийстатья в сборнике материалов конференциинаучнаярецензирование

Аннотация

The paper presents a method for meal recognition, ingredient extraction and recipe suggestion in the Russian language. The proposed algorithm consists of several consecutive stages. On the first stage the model extracts a list of ingredients from a photo of the dish, based on which recipes on the second stage are selected. Two ingredient extraction architectures were tested for the first stage and three recipe matching methods for recipe suggestion are proposed. In addition, the algorithm was incorporated into the telegram-bot which provides friendly user experience. Source code is at https://github.com/Alenushldish_id_sirius.

Язык оригиналаанглийский
Название основной публикации2020 International Conference Engineering and Telecommunication, En and T 2020
ИздательInstitute of Electrical and Electronics Engineers Inc.
ISBN (электронное издание)9781728188294
DOI
СостояниеОпубликовано - 25 ноя 2020
Событие2020 International Conference Engineering and Telecommunication, En and T 2020 - Dolgoprudny, Российская Федерация
Продолжительность: 25 ноя 202026 ноя 2020

Серия публикаций

Название2020 International Conference Engineering and Telecommunication, En and T 2020

Конференция

Конференция2020 International Conference Engineering and Telecommunication, En and T 2020
СтранаРоссийская Федерация
ГородDolgoprudny
Период25.11.202026.11.2020

Предметные области OECD FOS+WOS

  • 1.02 КОМПЬЮТЕРНЫЕ И ИНФОРМАЦИОННЫЕ НАУКИ
  • 1.03 ФИЗИЧЕСКИЕ НАУКИ И АСТРОНОМИЯ

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