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Combination of facial and nose features of Amur tigers to determine age.

Caiping ZhaoWenrui DaiQiang LiuDongqi LiuNathan James RobertsZhaoli LiuMing GongHongkun QiuChanghai LiuDan LiuGuangkai MaGuangshun Jiang
Published in: Integrative zoology (2024)
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%.
Keyphrases
  • deep learning
  • machine learning
  • high speed