10 datasets found

Tags: Image Classification

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  • CifarQuick

    The CifarQuick model is a medium-sized convolutional neural network trained on the Cifar-10 dataset.

  • Sorting of Smartphone Components for Recycling Through Convolutional Neural N...

    A dataset with 1,127 images of pyrolyzed smartphone components, used to train and assess a VGG-16 image classification model for sorting waste electrical and electronic...

  • LeNet

    The dataset used in the paper is LeNet, a convolutional neural network for image classification.

  • ResNet-50

    The dataset used in the paper is the ResNet-50 dataset, a convolutional neural network model.

  • VGG-11

    The dataset used in the paper is the VGG-11 dataset, a convolutional neural network model.

  • AlexNet

    The dataset used in the paper is the AlexNet dataset, which contains 60,000 32x32 color images in 10 classes, with 6,000 images per class.

  • ConvNet

    The dataset used in this paper is a convolutional neural network problem with 60,000 training examples and 10,000 testing examples.

  • TDT4173 - Method Paper

    A survey of the foundations, selected improvements, and some current applications of Deep Convolutional Neural Networks (CNNs).

  • 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.

  • 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.