Classifying 3 Moss Species by Deep Learning, Using the 'Chopped Picture' Method
| Autor: | Masanori Onishi, Mari Minagawa, Takeshi Ise |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
0106 biological sciences
0301 basic medicine business.industry Computer science Deep learning Pattern recognition Object (computer science) 01 natural sciences 03 medical and health sciences Identification (information) 030104 developmental biology Artificial intelligence business 010606 plant biology & botany |
| Zdroj: | Open Journal of Ecology. :166-173 |
| ISSN: | 2162-1993 2162-1985 |
| DOI: | 10.4236/oje.2018.83011 |
| Popis: | Especially in recent years, deep learning has become a very effective tool for object identification. However, in general, the automatic 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. The technique called chopped picture method, where teacher images are systematically dissected into numerous small squares. As a result, the model correctly classified 3 moss species and “non-moss” objects in test images with accuracy more than 90%. Using this approach will help progress in computer vision studies for various ambiguous objects. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|