A NOVEL DATASET FOR VIETNAMESE NEW YEAR FOOD CLASSIFICATION
Food classification has always piqued the interest of both domestic and international researchers, but numerous challenges remain. We present the dataset UIT-TASTET21, which contains over 77,000 color images of 18 traditional Vietnamese Lunar New Year dishes. We have experimented with classificatio...
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| Main Authors: | , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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Dalat University
2024-08-01
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| Series: | Tạp chí Khoa học Đại học Đà Lạt |
| Subjects: | |
| Online Access: | https://tckh.dlu.edu.vn/index.php/tckhdhdl/article/view/989 |
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| _version_ | 1823857099136827392 |
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| author | Duy Nguyen Vo Van Tan Luu Ngo Thi Phuong Vy Le Nguyen Ngoc Huyen Van Duc Anh Phuc Nguyen Van Tuan Kiet Ngo Thanh Thang Truong Tan Tai Pham Nhat Minh Dinh Thai Ngoc Ho Tan Tran Minh Khang Nguyen |
| author_facet | Duy Nguyen Vo Van Tan Luu Ngo Thi Phuong Vy Le Nguyen Ngoc Huyen Van Duc Anh Phuc Nguyen Van Tuan Kiet Ngo Thanh Thang Truong Tan Tai Pham Nhat Minh Dinh Thai Ngoc Ho Tan Tran Minh Khang Nguyen |
| author_sort | Duy Nguyen Vo |
| collection | DOAJ |
| description |
Food classification has always piqued the interest of both domestic and international researchers, but numerous challenges remain. We present the dataset UIT-TASTET21, which contains over 77,000 color images of 18 traditional Vietnamese Lunar New Year dishes. We have experimented with classification using feature vectors from network architectures such as VGG16, Inception-v3, ResNet-50, Xception, and MobileNet-v2 to train support vector machines (SVMs), meeting the dataset’s challenges and laying the groundwork for the development of many optimal methods in the future that promise scientific breakthroughs in the service and commercial industries. At the same time, the authors desire to share a piece of Vietnamese cuisine’s distinctiveness with worldwide friends.
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| format | Article |
| id | doaj-art-e63325a8aa3240ffbf30437fad40d80c |
| institution | Kabale University |
| issn | 0866-787X |
| language | English |
| publishDate | 2024-08-01 |
| publisher | Dalat University |
| record_format | Article |
| series | Tạp chí Khoa học Đại học Đà Lạt |
| spelling | doaj-art-e63325a8aa3240ffbf30437fad40d80c2025-02-12T01:00:48ZengDalat UniversityTạp chí Khoa học Đại học Đà Lạt0866-787X2024-08-0114310.37569/DalatUniversity.14.3.989(2024)A NOVEL DATASET FOR VIETNAMESE NEW YEAR FOOD CLASSIFICATIONDuy Nguyen Vo0Van Tan Luu Ngo1Thi Phuong Vy Le2Nguyen Ngoc Huyen Van3Duc Anh Phuc Nguyen4Van Tuan Kiet Ngo5Thanh Thang Truong6Tan Tai Pham7https://orcid.org/0009-0008-1940-2794Nhat Minh Dinh8Thai Ngoc Ho9Tan Tran Minh Khang Nguyen10https://orcid.org/0000-0002-6571-7075University of Information Technology, Vietnam National University Ho Chi Minh CityUniversity of Information Technology, Vietnam National University Ho Chi Minh City University of Information Technology, Vietnam National University Ho Chi Minh CityUniversity of Information Technology, Vietnam National University Ho Chi Minh CityUniversity of Information Technology, Vietnam National University Ho Chi Minh CityUniversity of Information Technology, Vietnam National University Ho Chi Minh CityUniversity of Information Technology, Vietnam National University Ho Chi Minh CityUniversity of Information Technology, Vietnam National University Ho Chi Minh CityUniversity of Information Technology, Vietnam National University Ho Chi Minh CityUniversity of Information Technology, Vietnam National University Ho Chi Minh CityUniversity of Information Technology, Vietnam National University Ho Chi Minh City Food classification has always piqued the interest of both domestic and international researchers, but numerous challenges remain. We present the dataset UIT-TASTET21, which contains over 77,000 color images of 18 traditional Vietnamese Lunar New Year dishes. We have experimented with classification using feature vectors from network architectures such as VGG16, Inception-v3, ResNet-50, Xception, and MobileNet-v2 to train support vector machines (SVMs), meeting the dataset’s challenges and laying the groundwork for the development of many optimal methods in the future that promise scientific breakthroughs in the service and commercial industries. At the same time, the authors desire to share a piece of Vietnamese cuisine’s distinctiveness with worldwide friends. https://tckh.dlu.edu.vn/index.php/tckhdhdl/article/view/989Convolutional neural network (CNN)Deep featureFood classificationTet holiday. |
| spellingShingle | Duy Nguyen Vo Van Tan Luu Ngo Thi Phuong Vy Le Nguyen Ngoc Huyen Van Duc Anh Phuc Nguyen Van Tuan Kiet Ngo Thanh Thang Truong Tan Tai Pham Nhat Minh Dinh Thai Ngoc Ho Tan Tran Minh Khang Nguyen A NOVEL DATASET FOR VIETNAMESE NEW YEAR FOOD CLASSIFICATION Tạp chí Khoa học Đại học Đà Lạt Convolutional neural network (CNN) Deep feature Food classification Tet holiday. |
| title | A NOVEL DATASET FOR VIETNAMESE NEW YEAR FOOD CLASSIFICATION |
| title_full | A NOVEL DATASET FOR VIETNAMESE NEW YEAR FOOD CLASSIFICATION |
| title_fullStr | A NOVEL DATASET FOR VIETNAMESE NEW YEAR FOOD CLASSIFICATION |
| title_full_unstemmed | A NOVEL DATASET FOR VIETNAMESE NEW YEAR FOOD CLASSIFICATION |
| title_short | A NOVEL DATASET FOR VIETNAMESE NEW YEAR FOOD CLASSIFICATION |
| title_sort | novel dataset for vietnamese new year food classification |
| topic | Convolutional neural network (CNN) Deep feature Food classification Tet holiday. |
| url | https://tckh.dlu.edu.vn/index.php/tckhdhdl/article/view/989 |
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