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Enhanced Mask R-CNN for Chinese Food Image Detection

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成果类型:
期刊论文
作者:
Li, Y.;Xu, X.;Yuan, C.*
通讯作者:
Yuan, C.
作者机构:
[Yuan, C.; Xu, X.; Li, Y.] Wuhan Polytech Univ, Sch Math & Comp Sci, Wuhan 430023, Peoples R China.
通讯机构:
[Yuan, C.] W
Wuhan Polytech Univ, Sch Math & Comp Sci, Wuhan 430023, Peoples R China.
语种:
英文
期刊:
Mathematical Problems in Engineering
ISSN:
1024-123X
年:
2020
卷:
2020
基金类别:
National Natural Science Foundation of ChinaNational Natural Science Foundation of China (NSFC) [F060609]
机构署名:
本校为第一且通讯机构
院系归属:
数学与计算机学院
摘要:
Food image detection plays an essential role in visual object detection, considering its applicability in solutions that improve people's nutritional status and thus their health-care. At present, most food detection technologies are aimed at Western food and Japanese food, but few at Chinese foods. In this work, we exert effort to establish a Chinese food image dataset called CF-108 that can be used as an essential data basis for Chinese food image detection. The CF-108 dataset contains most Chinese dishes and covers large variations in presentations of the same category. In addition, we intr...

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