51 datasets found

ParaBank 2 is a large synthetic paraphrase dataset created by translating one side of bitext into the language of the other side.

The dataset is used to evaluate the performance of the 𝛼-RNN model on various time series tasks.

The dataset used in the paper is a set of synthetic test functions, which are used to evaluate the performance of the Deterministic Langevin Optimization algorithm.

The M4 dataset consists of human-written texts from several data sources, including Wikipedia, Reddit, and arXiv in the English subset of the dataset. It pairs the human-written...

The dataset is used to evaluate the performance of the proposed approach on a variety of synthetic and real-world datasets.

Synthetic data 2

Synthetic data 1

Human 3D pose estimation from a single image is a challenging task with numerous applications. Convolutional Neural Networks (CNNs) have recently achieved superior performance...

Human 3D pose estimation from a single image is a challenging task with numerous applications. Convolutional Neural Networks (CNNs) have recently achieved superior performance...

A synthetic dataset is a data object that is generated programmatically, and it may be valuable to creating a single dataset from multiple sources when direct collection is...

A dataset of synthetic data for action categorization, including simplified videos without background.

Simulacrum dataset, a synthetic dataset for medical research, generated using a directed graph and conditional distributions

Synthetic data generated from a conditional Gaussian distribution to establish a reference characterizing the robustness-accuracy tradeoff based on the Bayes optimal linear...

Synthetic data from diffusion models augmenting real-world data

Four synthetic datasets aligned with the real-world AV dataset KITTI.

The dataset used in this paper for face recognition using synthetic data.

Crowd counting is a critical task in computer vision, with several important applications. However, existing counting methods rely on labor-intensive density map annotations,...

The dataset used in this paper is a collection of 51 seed images of lung nodules, which are used to train an autoencoder-based system to generate synthetic 3D lung nodule images.

The dataset used in this paper is a collection of 51 seed images of lung nodules, which are used to train an autoencoder-based system to generate synthetic 3D lung nodule images.

Face recognition model trained on synthetic data generated using StyleGAN2