35 datasets found

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.

A 3-D spatio-temporal point process synthetic dataset. The spatial observation x spans the area of [0, 1] × [0, 1], while the temporal observation window covers the time...

A dataset for the study of domain adaptation solutions, composed of synthetic and real videos from seven gesture classes, from both the ground and air perspectives.

The SHREC 19’ different connectivity data set contains shapes from different classes like humans.

The SHREC 16’ partiality data set contains shapes from different classes like dogs and humans.

The FAUST Synthetic data set contains 100 shapes which show 10 different people in 10 different poses.