47 datasets found

The dataset used in this paper is a synthetic dataset of 11940 transmission spectra of exoplanets, generated using the Alfnoor-forward pipeline.

A large-scale synthetic dataset for human head detection and 3D mesh estimation.

The ObMan dataset is a large synthetic dataset produced by rendering hand meshes with selected objects from ShapeNet.

Synthetic dataset for macro placement, generated using random placement and edge generation.

Synthetic dataset for macro placement, generated using ArtNetGen and Cadence EDA tool.

Synthetic dataset for macro placement, generated using ArtNetGen and Cadence EDA tool.

A synthetic dataset generator for generating analog clocks with diverse designs and styles.

The dataset used in the paper is a synthetic dataset generated using a generative process. It consists of 400 samples with 5 features and 4 labels. The dataset is used to...

The dataset used in this paper is a synthetic dataset generated from two fixed distributions and a time-varying mixture proportion.

A synthetic dataset for evaluating the performance of T-Phenotype.

SandPascal VOC++ dataset is a synthetic dataset for sand dust image restoration tasks, containing three forms of sand.

A synthetic dataset for dynamic novel view synthesis, consisting of 1,533 scenes of 50 frames each, at a frame rate of 10 FPS, with high-quality annotations for multiple...

A synthetic dataset for dynamic novel view synthesis, consisting of 3,000 scenes of 60 frames each, at a frame rate of 24 FPS, with RGB-D data rendered from 16 virtual cameras...

The dataset used in this paper is a synthetic dataset created for the performance versus complexity study of neural network equalizers in coherent optical systems.

The REDS dataset is a video super-resolution dataset, which consists of 240 videos of resolution 720 x 1280 captured by GoPro. Each video consists of 100 HR frames.

Synthetic dataset for camera motion blur.

The dataset used in the paper is the dSprites dataset, which contains 2D-shape binary images with a size of 64×64, synthetically generated with five independent factors: shape...

A synthetic dataset of 2235 clean images (¯xl)1≤l≤L, of size N = 512, and with nominal dynamic range slightly above 512104.

i-CLEVR is a synthetic dataset generated using the CLEVR engine. Each scene contains five image-instruction pairs. Starting from a background image, new objects are added...

Class-Agnostic Counting (CAC) dataset, includes 6,135 images across 147 categories, divided into 3,659 training, 1,286 validation, and 1,190 test images.