会议论文详细信息
International Conference on Informatics, Technology and Engineering 2017 | |
Leaf App: Leaf recognition with deep convolutional neural networks | |
计算机科学 | |
Sugata, T.L.I.^1 ; Yang, C.K.^1 | |
Department of Information Management, National Taiwan University of Science and Technology, Taipei 106, Taiwan^1 | |
关键词: Contrast Enhancement; Data augmentation; Deep convolutional neural networks; Leaf recognition; Pre-processing; State-of-the-art system; | |
Others : https://iopscience.iop.org/article/10.1088/1757-899X/245/1/012004/pdf DOI : 10.1088/1757-899X/245/1/012004 |
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学科分类:计算机科学(综合) | |
来源: IOP | |
【 摘 要 】
In this paper, a very deep convolutional neural network is used to do leaf recognition. In order to predict location of leaves, some pre-processing technique is adopted to extract regions in the image before doing classification. To improve the accuracy, we enlarge the dataset by data augmentation, i.e., doing several transformations such as horizontal reflection, contrast enhancement and rotations. Experimental results show that by using deep convolutional neural network with data augmentation, our system can achieve accuracy close to the state-of-the-art systems.
【 预 览 】
Files | Size | Format | View |
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Leaf App: Leaf recognition with deep convolutional neural networks | 815KB | download |