10 datasets found

The dataset used for training the Brazilian Portuguese version of the GRIT model, a translation of the COCO dataset.

COCOStuff is a scene-centric dataset with a total of 80 things and 91 stuff categories.

The dataset used in this paper is the MS COCO val2017 dataset, which is a subset of the MS COCO dataset used for validation.

The COCO Attributes dataset contains a large vocabulary of attributes for objects in images.

The COCO 2017 object detection dataset is used in this paper for evaluation of the proposed DEYOv2 model.

The MS COCO mini-val dataset contains 5000 images of 80 classes.

The dataset used in the paper for text-driven image editing, consisting of synthetic images generated by Midjourney and COCO dataset images.

A large-scale, cross-subject fMRI dataset for brain captioning, containing high-resolution 7-Tesla fMRI scans captured from 8 subjects viewing images from the COCO dataset.

The COCO dataset is a large-scale dataset for object detection, semantic segmentation, and captioning. It contains 80 object categories and 1,000 image instances per category,...

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...