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Bibliographic Details
Main Authors: Lam, Hoang Khanh, Perera, Kahandakanaththage Maduni Pramuditha
Format: Preprint
Published: 2024
Subjects:
Online Access:https://arxiv.org/abs/2409.02448
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author Lam, Hoang Khanh
Perera, Kahandakanaththage Maduni Pramuditha
author_facet Lam, Hoang Khanh
Perera, Kahandakanaththage Maduni Pramuditha
contents A solution was made available for Korean Food lovers who have dietary restrictions to identify the Korean food before consuming. Just by uploading a clear photo of the dish, people can get to know what they are eating. Image processing techniques together with machine learning helped to come up with this solution.
format Preprint
id arxiv_https___arxiv_org_abs_2409_02448
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Detecting Korean Food Using Image using Hierarchical Model
Lam, Hoang Khanh
Perera, Kahandakanaththage Maduni Pramuditha
Computer Vision and Pattern Recognition
Artificial Intelligence
A solution was made available for Korean Food lovers who have dietary restrictions to identify the Korean food before consuming. Just by uploading a clear photo of the dish, people can get to know what they are eating. Image processing techniques together with machine learning helped to come up with this solution.
title Detecting Korean Food Using Image using Hierarchical Model
topic Computer Vision and Pattern Recognition
Artificial Intelligence
url https://arxiv.org/abs/2409.02448