9 datasets found

Visual ChatGPT is a system that integrates different Visual Foundation Models to understand visual information and generation corresponding answers.

The VisualBERT dataset is a pre-trained model for vision-and-language tasks, which is built on top of PyTorch.

The Task Driven Image Understanding Challenge (TDIUC) dataset is a large VQA dataset with 12 more fine-grained categories proposed to compensate for the bias in distribution of...

Common objects in context.

The Cityscapes dataset is a large-scale urban scene dataset containing over 25,000 images.

BigEarthNet is a large-scale Sentinel-2 dataset collected from a total of 125 Sentinel-2 tiles covering areas of 10 countries in Europe. The dataset was prepared with data from...

CLEVR images contain objects characterized by a set of attributes (shape, color, size and material). The questions are grouped into 5 categories: Exist, Count, CompareInteger,...

The Microsoft COCO dataset was used for training and evaluating the CNNs because it has become a standard benchmark for testing algorithms aimed at scene understanding and...

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...