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...
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| Fformat: | Erthygl |
| Iaith: | English |
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Trường Đại học Đà Lạt
2024
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| Mynediad Ar-lein: | https://scholar.dlu.edu.vn/thuvienso/handle/DLU123456789/256906 https://tckh.dlu.edu.vn/index.php/tckhdhdl/article/view/989 |
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Ychwanegu Tag
Dim Tagiau, Byddwch y cyntaf i dagio'r cofnod hwn!
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| Thư viện lưu trữ: | Thư viện Trường Đại học Đà Lạt |
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| Crynodeb: | 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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