40 datasets found

The dataset is used to train a social navigation model, and it consists of synthetic data generated using a virtual environment.

A dataset of synthetic data generated from a stochastic model of the Hes1 genetic oscillator.

Synthetic regression problem with two users attempting to fit a linear model of the function f (x1, x2) = 5x1 − 2x2 + 0.5x3^2. Each user has input data drawn from a distinct...

Publicly available dataset for 3D shape-consistent synthetic data generation

The dataset consists of synthetic wearable users generated from a large-scale anonymized dataset from 30000 real wearable users.

The Synthetic 5 and Synthetic 10 nodes data sets are synthetic data sets with 5 and 10 nodes respectively.

Synth4D is a dataset of 20,000 LiDAR point clouds synthesized by the CARLAsimulator.

The dataset is used for plant phenotyping, specifically for leaf counting. It contains synthetic images of plants with leaf counts.

The dataset is used for image-based plant phenotyping, specifically for leaf instance segmentation. It contains synthetic images of plants with leaf instance segmentation masks.

The dataset used in the experiments with the synthetic two-dimensional data and the MNIST digits.

OpenHermes 2.5: An Open Dataset of Synthetic Data for Generalist LLM Assistants

The dataset is created according to [5]. It is initially composed of N main features and of N (N − 1)/2 interactions (due to symmetry).

The dataset is created according to [5]. It is initially composed of N main features and of N (N − 1)/2 interactions (due to symmetry).

Synthetic dataset used for training the neural control law.

The dataset used in the paper is a 3D seismic fault segmentation dataset, which is a mixture of field data and synthetic data.

Realistic synthetic sonar sensory data for full-length underwater missions with a direct control over the topography.

The dataset used in the paper is a collection of images and corresponding affordances (pedestrian hazard, vehicle hazard, red traffic light, and relative heading angle) for...

The Synthia dataset is a large-scale urban scene understanding dataset, containing 9000 samples. It is used for semantic segmentation tasks.

The dataset used in the paper is a 3-d Gaussian distributed dataset.

The dataset used in the paper is a synthetic dataset generated by the component decoupled model described in Section 3.