74 datasets found

The VQA dataset consists of 248,349 training questions, 121,512 validation questions and 244,302 testing questions, generated on a total of 123,287 images.

The VQAv2 dataset, containing open-ended questions on 265k images, with 5.4 questions per image on average.

MNRE-2 dataset

The Waymo Open Perception dataset is a large-scale dataset for autonomous driving perception.

MINIST: This is a subset of the MINST hand-written digits dataset, created for the outlier detection task in Outlier Detection DataSets. It contains a total of 7603 images, with...

The Multimodal Attribute Extraction (MAE) dataset is a large dataset containing mixed-media data for over 2.2 million commercial product items, collected from a large number of...

The Visual Genome Relationship Dataset contains 108,077 images and 1,531,448 relationships.

The Visual Relationship Dataset contains 5000 images with 100 object categories and 70 predicates.

A large-scale multi-modal dataset comprising 1 million EEG-image-text pairs.

The CLIPfa dataset is a multilingual image-text dataset.

The SemEval-2023 Visual Word Sense Disambiguation (V-WSD) Task dataset consists of a silver dataset with 12,869 V-WSD instances. Each sample is a 4-tuple ⟨f, c, I, i∗ ∈ I⟩ where...

The dataset used in the paper for RGB-D salient object detection.

The dataset used in the paper for RGB-D salient object detection.

Texture image dataset

Texture image dataset

VisTex dataset contains color texture images, representative of real world conditions.

The dataset used in the paper is a high-quality fingerprint image dataset (plain and rolled print) and a poor-quality fingerprint image dataset (latent print).

The dataset is a collection of images used to study Geometrical illusions.

The dataset is a collection of images used to study the visual cortex.

Hyperspectral pasture image dataset with imbalanced class distributions and disparate volumes of data among different sites