7 datasets found

The MS-COCO 2017 unlabeled dataset is used to evaluate the performances of various RefineDet networks.

The MS-COCO 2017 test-dev17 dataset is used to evaluate the performances of various RefineDet networks.

The MS-COCO 2017 test-dev dataset is used to evaluate the performances of various RefineDet networks.

The MS-COCO 2017 object detection dataset is used to evaluate the performances of various RefineDet networks.

The MS COCO 2014 Dataset contains images of 91 object categories, which contains 82783 training images, 40504 validation images and 40775 testing images.

The dataset used in the paper is the Split MS-COCO dataset, which is a comprehensive framework for continual image captioning.

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...