Ontology highlight
ABSTRACT:
SUBMITTER: Guo S
PROVIDER: S-EPMC7415925 | biostudies-literature | 2020 Aug
REPOSITORIES: biostudies-literature
Guo Songtao S Xu Pengfei P Miao Qiguang Q Shao Guofan G Chapman Colin A CA Chen Xiaojiang X He Gang G Fang Dingyi D Zhang He H Sun Yewen Y Shi Zhihui Z Li Baoguo B
iScience 20200725 8
The difficulty of obtaining reliable individual identification of animals has limited researcher's ability to obtain quantitative data to address important ecological, behavioral, and conservation questions. Traditional marking methods placed animals at undue risk. Machine learning approaches for identifying species through analysis of animal images has been proved to be successful. But for many questions, there needs a tool to identify not only species but also individuals. Here, we introduce a ...[more]