21 datasets found

The HKU-IS dataset is used for training the Cycle-IR model.

The dataset used for training and testing the Conditional Generative Adversarial Networks (cGAN) for estimating tissue oxygen saturation from RGB images.

Realistic Through-Wall (RTW) dataset, which comprises synchronized raw radar ADC data, RGB images, and coordinate labels for the targets.

The dataset used in the paper is a collection of RGB images of a tabletop scene, along with their corresponding camera poses and 3D geometry.

Re:InterHand dataset is a large-scale dataset for 3D interacting hand pose estimation from a single RGB image.

The InterHand2.6M dataset contains 366K training samples, 110K validation samples, and 261K test samples. It is the only interacting two-hand dataset with dense shape annotations.

RenderIH dataset is a large-scale synthetic dataset for 3D interacting hand pose estimation from a single RGB image.

The dataset used in this paper is a collection of high-dimensional RGB images of environments, where each image represents a trajectory of observations generated during the...

The dataset used in this paper is a collection of high-dimensional RGB images of environments, where each image represents a trajectory of observations generated during the...

The dataset used in this paper is a collection of high-dimensional RGB images of environments, where each image represents a trajectory of observations generated during the...

The dataset used in this paper is a collection of high-dimensional RGB images of environments, where each image represents a trajectory of observations generated during the...

The dataset used in this paper is a collection of high-dimensional RGB images of environments, where each image represents a trajectory of observations generated during the...

The KITTI val split is a subset of the KITTI dataset, used for validation and testing.

The DexYCB dataset is a large-scale dataset of hand-grasping postures captured using a synchronized setup of 8 cameras.

Multi-modal crowd counting involves estimating crowd density from both visual and thermal/depth images.

The MVTec-3D AD dataset is a comprehensive real-world dataset for unsupervised 3D anomaly detection and localization.

The Pix3D dataset is a collection of 3D models with RGB images, used for training and testing 3D object recognition and generation tasks.

Tar spot disease is a fungal disease that appears as a series of black circular spots containing spores on corn leaves. The dataset consists of both close-up images of leaves...

The dataset used in the paper is HAM10000, which is a dermoscopic image classification dataset. It contains 10,015 dermoscopic images categorized into 7 lesion types.

CORe50 is a video benchmark for continual learning, consisting of 164,866 128x128 images of 50 domestic objects belonging to 10 categories.