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GalliformeSpectra: A Hen Breed Dataset
A comprehensive dataset featuring ten distinct hen breeds, capturing unique characteristics and traits of each breed. -
Protest Images Dataset
The dataset contains protest images from South Korea and Hong Kong. -
Image as Data: Automated Visual Content Analysis for Political Science
Image data provide unique information about political events, actors, and their interactions which are difficult to measure from or not available in text data. -
Fujifilm UltraISP dataset
A novel MicroISP model designed specifically for edge devices, taking into account their computational and memory limitations. -
Unsupervised Deep Single-Image Intrinsic Decomposition
The dataset used for training and testing the proposed deep single-image intrinsic decomposition model. -
MPII Human Pose Dataset
Human pose estimation refers to the task of recognizing postures by localizing body keypoints (head, shoulders, elbows, wrists, knees, ankles, etc.) from images. -
DEEVA: A Deep Learning and IoT Based Computer Vision System
A deep learning and IoT based computer vision system to process computer vision and natural language in real time in order to address the safety and security of production sites... -
Defects of Convolutional Decoder Networks in Frequency Representation
The dataset used in the paper to prove the representation defects of a cascaded convolutional decoder network in frequency representation. -
Going Deeper with Convolutions
The dataset used for training and testing the proposed method. -
Very Deep Convolutional Networks for Large-Scale Image Recognition
The dataset consists of 60,000 images of objects in 200 categories, with 300 images per category. -
CLIP-Lung: Textual Knowledge-Guided Lung Nodule Malignancy Prediction
Lung nodule malignancy prediction has been enhanced by advanced deep-learning techniques and effective tricks. Nevertheless, current methods are mainly trained with... -
BraTS 2020: self-ensembled, deeply-supervised 3D U-Net CNNs
Brain tumor segmentation is a critical task for patient’s disease management. In order to automate and standardize this task, we trained multiple U-net like neural networks,... -
ImageNet and CIFAR-10 datasets
The dataset used in the paper is not explicitly described, but it is mentioned that the authors used VGG-16, ResNet-50, and MobileNet-v2 models on the ImageNet and CIFAR-10... -
MobileNetV2 dataset
The dataset used in the paper is the MobileNetV2 dataset, which is a pre-trained deep neural network model. -
ChestXray14
Chest radiography is one of the most ubiquitous diagnostic modalities for cardiothoracic and pulmonary abnormalities in the clinical setting. A timely diagnostic based on the... -
AutoShuffleNet: Learning Permutation Matrices
The dataset used in this paper is CIFAR-10 and ImageNet datasets.