10 datasets found

A large-scale dataset of karyograms for hematological malignancies, used to train and evaluate a deep learning model for chromosome aberration detection.

NuCLR: Nuclear Co-Learned Representations, a deep learning model that predicts various nuclear observables, including binding and decay energies, and nuclear charge radii.

Magnetically controlled capsule endoscopy data for detecting and measuring human gastric peristalsis

Copy detection patterns (CDP) are an attractive technology that allows manufacturers to defend their products against counterfeiting. The main assumption behind the protection...

The dataset used in this paper is a collection of 75,000 random graph instances for the training set and 200,000 instances for the test set, where each graph is a 2-layer...

The C-GAN dataset is used for training and validation of the Conditional Generative Adversarial Network model.

The C-VAE dataset is used for training and validation of the Conditional Variational Autoencoder model.

This paper proposes BERT, a pre-trained deep bidirectional transformer for language understanding.

The training dataset is a collection of the publicly available Arabic corpora listed below: The unshuffled OSCAR corpus (Ortiz Su´arez et al., 2020). The Arabic Wikipedia dump...

The dataset used in this paper for object recognition on CIFAR-100, MNIST, and ImageNet, and scene recognition on MIT67, SUN397, and Places205.