%0 Generic %1 wick2017leafidentification %A Wick, Christoph %A Puppe, Frank %D 2017 %K cnn dnn myown %T Leaf Identification Using a Deep Convolutional Neural Network %U http://arxiv.org/abs/1712.00967 %X Convolutional neural networks (CNNs) have become popular especially in computer vision in the last few years because they achieved outstanding performance on different tasks, such as image classifications. We propose a nine-layer CNN for leaf identification using the famous Flavia and Foliage datasets. Usually the supervised learning of deep CNNs requires huge datasets for training. However, the used datasets contain only a few examples per plant species. Therefore, we apply data augmentation and transfer learning to prevent our network from overfitting. The trained CNNs achieve recognition rates above 99% on the Flavia and Foliage datasets, and slightly outperform current methods for leaf classification.

@misc{wick2017leafidentification, abstract = {Convolutional neural networks (CNNs) have become popular especially in computer vision in the last few years because they achieved outstanding performance on different tasks, such as image classifications. We propose a nine-layer CNN for leaf identification using the famous Flavia and Foliage datasets. Usually the supervised learning of deep CNNs requires huge datasets for training. However, the used datasets contain only a few examples per plant species. Therefore, we apply data augmentation and transfer learning to prevent our network from overfitting. The trained CNNs achieve recognition rates above 99% on the Flavia and Foliage datasets, and slightly outperform current methods for leaf classification.}, added-at = {2017-12-18T09:43:34.000+0100}, author = {Wick, Christoph and Puppe, Frank}, biburl = {https://www.bibsonomy.org/bibtex/211e43d7a0432419374e246419b6d52c1/chwick}, description = {Leaf Identification Using a Deep Convolutional Neural Network}, interhash = {8c0a5b250fbd0c4ee7b90dcdbfaf155a}, intrahash = {11e43d7a0432419374e246419b6d52c1}, keywords = {cnn dnn myown}, note = {cite arxiv:1712.00967}, timestamp = {2017-12-18T09:43:34.000+0100}, title = {Leaf Identification Using a Deep Convolutional Neural Network}, url = {http://arxiv.org/abs/1712.00967}, year = 2017 }