61 datasets found

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.

A dataset for style attribution, curating images associated with the artist that created them.

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).

Re-identification (Re-ID) problems aim to determine corresponding targets across multiple cameras or different locations in the same camera from the gallery set with a given probe.

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 collection of images of objects with varying viewpoints, used for training and testing the proposed RRB framework.

The Caltech Pedestrian Dataset contains pedestrian images taken at a busy street in Pasadena, California.

The dataset used in the paper is the Pascal VOC 2012 dataset, which is a benchmark for instance segmentation. The dataset consists of 1464 images with 20 class categories and...

Re-identification (Re-ID) problems aim to determine corresponding targets across multiple cameras or different locations in the same camera from the gallery set with a given probe.

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 dataset is a collection of 256x256 pixel images.

PororoSV dataset is a story dataset used for visual story generation, containing 10191, 2334, and 2208 samples for training, validation, and testing.

The LLAMAS dataset contains more than 100,000 high-resolution images (1276 × 717), collected primarily from highway scenarios.

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