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 classification...

Ful tanımlama

Kaydedildi:

Detaylı Bibliyografya
Asıl Yazarlar:	Vo, Duy Nguyen, Ngo, Van Tan Luu, Le, Thi Phuong Vy, Van, Nguyen Ngoc Huyen, Nguyen, Duc Anh Phuc, Ngo, Van Tuan Kiet, Truong, Thanh Thang, Pham, Tan Tai, Dinh, Nhat Minh, Ho, Thai Ngoc, Nguyen, Tan Tran Minh Khang
Materyal Türü:	Makale
Dil:	English
Baskı/Yayın Bilgisi:	Trường Đại học Đà Lạt 2024
Konular:	Convolutional neural network (CNN) Deep feature Food classification Tet holiday
Online Erişim:	https://scholar.dlu.edu.vn/thuvienso/handle/DLU123456789/256906 https://tckh.dlu.edu.vn/index.php/tckhdhdl/article/view/989
Etiketler:	Etiketle Etiket eklenmemiş, İlk siz ekleyin!

Thư viện lưu trữ:	Thư viện Trường Đại học Đà Lạt

Diğer Bilgiler
Özet:	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.

A NOVEL DATASET FOR VIETNAMESE NEW YEAR FOOD CLASSIFICATION

Benzer Materyaller