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