40 datasets found

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.

A synthetic barcode dataset and its code for further studies.

The UBnormal dataset is a recent and large dataset proposed for supervised anomaly detection. In contrast to other benchmarks, it is a synthetic dataset created with Cinema4D....

The dataset used in this work is a custom synthetic dataset generated using the liquid-dsp library, containing 600000 examples of each of 13.8 million examples, with SNRs...

A synthetic dataset of 200 graphs with 5 nodes each, where nodes were randomly placed within a designated area of operation using a random point configuration of the Euclidean...

The dataset used in the paper is ShapeNetPart, a synthetic dataset for 3D object part segmentation. It contains 16,881 models from 16 categories.

CLEVR images contain objects characterized by a set of attributes (shape, color, size and material). The questions are grouped into 5 categories: Exist, Count, CompareInteger,...

Point cloud registration is a crucial problem in computer vision and robotics. Existing methods either rely on matching local geometric features, which are sensitive to the pose...