29 datasets found

300W-LP dataset is an extension of 300W dataset which is a combination of several datasets, for instance, HELEN, AFW, IBUG, LFPW, etc.

A large-scale dataset for video scene parsing in the wild.

The dataset used in the paper for attention-oriented data analysis and attention-based adversarial defense.

The Video Frame Interpolation with Densely Queried Bilateral Correlation dataset is a large-scale video frame interpolation dataset, containing 100,000 frames with a resolution...

The Inpaint Anything dataset is a large-scale image inpainting dataset, containing images with missing regions.

Video super-resolution (VSR) is the technique of increasing the nominal resolution of image/video content accompanied with quality improvement.

Coyo-700m is a large-scale image-text dataset that provides a large amount of high-quality image-text pairs.

The CelebV-HQ dataset contains 35,666 face videos from over 15,000 identities.

The MS COCO 2014 Dataset contains images of 91 object categories, which contains 82783 training images, 40504 validation images and 40775 testing images.

The Conceptual Captions 12M (CC-12M) dataset consists of 12 million diverse and high-quality images paired with descriptive captions and titles.

The dataset used for pre-training language models, containing a large collection of text documents.

SUN database: Large-scale scene recognition from abbey to zoo.

The ImageNet dataset is a large-scale image database that contains over 14 million images, each labeled with one of 21,841 categories.

Stereo image super-resolution aims to improve the quality of high-resolution stereo image pairs by exploiting complementary information across views.

The dataset used in the paper is a multi-view clustering dataset, which contains 6 views of 30000 samples each. The dataset is used to evaluate the performance of the proposed...

The TrackingNet dataset is a benchmark for visual tracking, containing 511 video sequences with varying difficulties.

The Flickr30k dataset is widely utilized for image caption and image-text retrieval tasks, providing a substantial collection of images with associated captions.

The DiDeMo dataset is a large-scale video-text dataset, containing 10,000 videos and 40,000 annotations.

The dataset is a 4-way array of dimensions 4000 × 90 × 90 × 3, where each pixel gives the intensity for colors red, green and blue, resulting in a multiway array of dimensions X...

IWSLT is a neural machine translation dataset.