生物
鼻子
动物
老虎
人工智能
地理
模式识别(心理学)
解剖
计算机科学
计算机安全
作者
Chaoxia Zhao,Wenrui Dai,Qiang Liu,Dongqi Liu,Nathan James Roberts,Zhaoli LIU,Ming Gong,Heqian Qiu,C. Karen Liu,Dan Liŭ,Guoqing Ma,Guangshun Jiang
标识
DOI:10.1111/1749-4877.12817
摘要
We found that the area of black round or irregular-shaped spots on the tiger's nose increased with age, indicating a positive relationship between age and nose features. We used the deep learning model to train the facial and nose image features to identify the age of Amur tigers, using a combination of classification and prediction methods to achieve age determination with an accuracy of 87.81%.
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