Datasets

subject: deep learning type: dataset

Total is 14 Results
Wheat spike blast image classification using deep convolutional neural networks

10.4231/P0Y7-3428

Carlos Gongora , Christian D Cruz ORCID logo , Darcy Telenko , Jian Jin , Mariela Fernandez-Campos ORCID logo , Mohammad Jahanshahi , Tao Wang , Yuting Huang

04/30/2021

The folder includes i) a wheat spike blast image classification CNN model trained to automatically quantify and classify disease severity, ii) the generated datasets that include images of wheat spike blast severity levels under controlled...

Blast Botany and Plant Pathology CNN deep learning disease Magnaporthe oryzae plant disease phenotyping Plant phenotyping Python Wheat wheat blast

Visualized layer-wise visual features in deep residual neural network

10.4231/R7PR7T1G

Haiguang Wen , Junxing Shi , Wei Chen , Zhongming Liu ORCID logo

06/29/2017

Deep residual neural network is a brain-inspired computational model. 50 layers of neuron-like computational units are stacked into a bottom-up hierarchy. Features encoded at units are visualized for intuitively understanding the internal...

Biomedical Engineering deep learning natural vision Neural encoding Object Recognition

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