Identifying 3 moss species by deep learning, using the 'chopped picture' method

Autor:	Ise, Takeshi, Minagawa, Mari, Onishi, Masanori
Rok vydání:	2017
Předmět:	Statistics - Machine Learning Computer Science - Computer Vision and Pattern Recognition
Druh dokumentu:	Working Paper
Popis:	In general, object identification tends not to work well on ambiguous, amorphous objects such as vegetation. In this study, we developed a simple but effective approach to identify ambiguous objects and applied the method to several moss species. As a result, the model correctly classified test images with accuracy more than 90%. Using this approach will help progress in computer vision studies. Comment: 7 pages, 5 figures, 1 table
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/1708.01986 Zobrazit plný text záznamu View this record from Arxiv