CentralBark Image Dataset and Tree Species Classification Using Deep Learning
Charles Warner,
Fanyou Wu,
Rado Gazo
et al.
Abstract:The task of tree species classification through deep learning has been challenging for the forestry community, and the lack of standardized datasets has hindered further progress. Our work presents a solution in the form of a large bark image dataset called CentralBark, which enhances the deep learning-based tree species classification. Additionally, we have laid out an efficient and repeatable data collection protocol to assist future works in an organized manner. The dataset contains images of 25 central har… Show more
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