320 datasets found

The ImageCLEF-DA1 dataset is also a benchmark dataset for domain adaptation, which contains 12 categories shared by three public datasets, Caltech- 256 (C), ImageNet ILSVRC 2012...

The Office-31 dataset is a standard benchmark for domain adaptation from [16], comprising 4,652 images and 31 categories collected from three distinct domains: Amazon (A), Webcam...

Detecting temporal extents of human actions in videos is a challenging computer vision problem that requires detailed manual supervision including frame-level labels.

Pascal Visual Object Classification challenge consist of 20 image classes, where each image was parsed into an image graph using keypoints as nodes.

The Clevr VQA benchmark consists of an image corpus where each image is associated with a scene graph.

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

Fashionpedia-Taste is an explainable fashion taste dataset that challenges computer vision systems to predict whether a subject like a fashion image and provide explanations...

Self-driving dataset is a dataset of pedestrians in various environments.

The dataset used for training and testing the proposed localizability estimation approach.

A dataset for non-rigid multi-view stereo (NRMVS) reconstruction from sparse, unordered RGB images with non-rigid changes.

A large-scale object non-Lambertian intrinsics database based on ShapeNet, a large-scale 3D shape dataset.

A large-scale object non-Lambertian intrinsics database based on ShapeNet, a large-scale 3D shape dataset.

The dataset used in this paper is a 3D shape coverage estimation dataset.

The Skin Cancer MNIST (HAM10000) dataset is a good use case to assess the capabilities of attention mechanisms in neural networks.

Generative adversarial networks (GANs) are increasingly attracting attention in the computer vision, natural language processing, speech synthesis and similar domains. However,...

Generative adversarial networks (GANs) are increasingly attracting attention in the computer vision, natural language processing, speech synthesis and similar domains. However,...

Gaze estimation has grown rapidly in accuracy in recent years. However, these models often fail to take advantage of different computer vision (CV) algorithms and techniques...

A deep learning and IoT based computer vision system to process computer vision and natural language in real time in order to address the safety and security of production sites...

ETH3D is a small real-world grayscale dataset with both indoor and outdoor scenes. It contains 27 labeled stereo image pairs for training and 20 stereo pairs for testing.

The Argoverse dataset is a large dataset of real-world outdoor driving scenes.