42 datasets found

The dataset used in the paper is Conceptual Caption, which is a large-scale dataset of images with captions.

A dataset of images of birds.

The dataset used in this paper is a collection of images from different classes, including Africa, Monuments, Animals, and People.

The paper presents a dataset called FERET, which consists of a training set FA with a single face image for each of 1196 subjects, and 4 probe sets with pose, expression,...

The AGD20K dataset provides a collection of 20,061 images captured from a third-person perspective (exocentric) and 3,755 images from a first-person perspective (egocentric)....

Human vision is naturally more attracted by some regions within their field of view than others. This intrinsic selectivity mechanism, so-called visual attention, is influenced...

The dataset used in the experiment consists of 50 images equally distributed between five classes: aircraft, bird, bicycle, boat, and dog. Each class has 5 true positive images...

A dataset of multi-illumination images in the wild.

The dataset used in this paper is a collection of images from the STL-10 dataset, preprocessed and used for training and evaluation of the proposed diffusion spectral entropy...

The dataset used in the paper is a set of images, and the authors used it to train and test their ladder network model.

The Trafficking-10k dataset contains more than 10,000 advertisements annotated for the task of detecting human trafficking. The dataset contains two sources of information per...

The mini-ImageNet dataset is a subset of the ImageNet dataset, containing 60,000 images from 100 classes.

Camouflaged object detection (COD) aims to search and segment camouflaged objects from single image.

The dataset consists of 503 pairs of common objects (including both rigid and non-rigid objects such as vehicles and wildlife) and diverse background images (covering both...

CelebFaces Attributes Dataset (CelebA) is a large-scale face attributes dataset containing 10,177 celebrities images, each of which has 20 images.

The CAMO dataset is the first COD dataset, containing 1,250 camouflaged images and 1,250 non-camouflaged images.

The Places2 dataset is a dataset of images of places.

The Tecnick dataset is a dataset of 10 images, each with a size of 512x512 pixels.

Dataset for Fine-Grained Sketch-Based Image Retrieval.

Dataset for Fine-Grained Sketch-Based Image Retrieval.