28 datasets found

A dataset for edge-preserving image smoothing, containing 500 training and testing images with a number of representative visual object categories.

Synthetic pendulum dataset

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

The Open Image Dataset (OID) is a large-scale image dataset that contains a diverse set of images.

The dataset used for training and testing the proposed Cascaded Edge and Image Learning Network (CEILNet) for single image reflection removal and image smoothing.

A large-scale image dataset of wood surface defects for automated vision-based quality control processes.

CUHK-SYSU is a large-scale dataset designed for person search, which contains 18,184 scene images captured from street nap and movie screenshot.

The dataset used in the paper is a large collection of small images, each representing a patch of a jigsaw puzzle. The patches are of the same size and orientation, and the goal...

The MSTlandmarkv1 dataset comprises around 4000 images of 34 different landmark instances.

WebFace: WebFace is a large-scale face recognition dataset containing 4.2 million facial images from 205,990 identities.

VisDA dataset consists of 12 categories and contains around 150,000 synthetic and 50,000 real-world images in the source and target domains, respectively.

Office dataset consists of 31 categories and contains around 4,700 images across three domains, namely Amazon(A), DSLR(D) and Webcam(W).

LAION-5B dataset is a large-scale image dataset containing 5,000 images of various scenes.

Cityscapes dataset is a large-scale urban scene dataset containing 30,000 images of street scenes.

LSUN Church dataset is a large-scale image dataset containing 30,000 images of churches.

The LAION-2B dataset used in the pre-training of the diffusion model. The dataset consists of 2.17B images, including public and private domains.

The dataset used in the paper is a multi-graph problem, where each graph represents a different network. The dataset is used to evaluate the performance of the RECS algorithm on...

The HKU dataset consists of 4447 images with multiple disconnected salient objects or objects touching the image boundary.

Feature matters for salient object detection. Existing methods mainly focus on designing a sophisticated structure to incorporate multi-level features and filter out cluttered...

The dataset used in the paper is a collection of small images, each representing a patch of a jigsaw puzzle. The patches are of the same size and orientation, and the goal is to...