Ontology highlight
ABSTRACT:
SUBMITTER: Zhang Q
PROVIDER: S-EPMC6805909 | biostudies-literature | 2019 Oct
REPOSITORIES: biostudies-literature
Zhang Qi Q Zhou Jianhang J He Jing J Cun Xiaodong X Zeng Shaoning S Zhang Bob B
Scientific data 20191022 1
Shells are very common objects in the world, often used for decorations, collections, academic research, etc. With tens of thousands of species, shells are not easy to identify manually. Until now, no one has proposed the recognition of shells using machine learning techniques. We initially present a shell dataset, containing 7894 shell species with 29622 samples, where totally 59244 shell images for shell features extraction and recognition are used. Three features of shells, namely colour, sha ...[more]