8 datasets found

Visual Spatial Reasoning (VSR) is a controlled probing dataset for testing vision-language models' capabilities of recognizing and reasoning about spatial relations in natural...

The Visual7W dataset is a visual question answering dataset, which consists of images and corresponding questions.

The dataset used in the paper "Scaling Laws of Synthetic Images for Model Training". The dataset is used for supervised image classification and zero-shot classification tasks.

The dataset used in the paper is a set of sequential vision-and-language tasks, where each task consists of an image and a text input.

The SBU Captions dataset is a large-scale image-text dataset used for vision-language pre-training.

The Visual Genome dataset is a large-scale visual question answering dataset, containing 1.5 million images, each with 15-30 annotated entities, attributes, and relationships.

Large scale datasets [18, 17, 27, 6] boosted text conditional image generation quality. However, in some domains it could be difficult to make such datasets and usually it could...

Human Pose Estimation (HPE) aims to estimate the position of each joint point of the human body in a given image. HPE tasks support a wide range of downstream tasks such as...