Plant Identification System based on a Convolutional Neural Network for the LifeClef 2016 Plant Classification Task

نویسندگان

  • Sue Han Lee
  • Yang Loong Chang
  • Chee Seng Chan
  • Paolo Remagnino
چکیده

In this paper, we describe the architecture of our plant classification system for the LifeClef 2016 challenge [14]. The objective of the task is to identify 1000 species of images of plants corresponding to 7 different plant organs, as well as automatically detecting invasive species from unknown classes. To address the challenge [10], we proposed a plant classification system that uses a convolutional neural network (CNN).

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تاریخ انتشار 2016