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GRAINet: Mapping Grain Size Distributions in River Beds from UAV Images
The dataset used for training and testing the GRAINet model for PSD determination. -
PSDNet: Determination of Particle Size Distributions Using Synthetic Soil Images
The dataset used for training and testing the ConvNet model for PSD determination. -
Bottleneck Layer
The dataset used in this paper is a Bottleneck layer, which is a type of convolutional neural network layer. The dataset is used to evaluate the performance of the proposed... -
Binary Convolution Dataset
The dataset used in this paper is a binary convolution dataset, where the inputs are binary images and the outputs are the results of the convolution operation. -
MobileNetV2
The dataset used in this paper is a MobileNetV2 model, which is a type of deep neural network. The dataset is used to evaluate the performance of the proposed heterogeneous system. -
U-net: Con-volutional networks for biomedical image segmentation
U-net: Con-volutional networks for biomedical image segmentation. -
Thermal and IR drop analysis using convolutional encoder-decoder networks
Thermal and IR drop analysis using convolutional encoder-decoder networks. -
Learning Multiple Layers of Features from Tiny Images
The CIFAR-10 dataset consists of 60,000 training images and 10,000 test images. Each image is a 32×32 color image.
