9 datasets found

The MSCOCO caption challenge dataset is a subset of the MSCOCO caption dataset, containing 113,287 training images, 5,000 validation images, and 5,000 test images.

The MSCOCO caption dataset is a large-scale image captioning dataset. It consists of 123,000 images with 5 captions each.

The dataset used in the paper is Flickr30K and MSCOCO, which are used for image-text matching and image captioning tasks.

The MSCOCO 2014 captions dataset contains 123,293 images, split into a 82,783 image training set and a 40,504 image validation set. Each image is labeled with five...

The MSCOCO 2017 training dataset is a paraphrase dataset used to train the transition matrix.

The PASCAL VOC 2007, 2010, 2012 datasets, the ILSVRC 2013 dataset, and the MSCOCO 2014 dataset.

The MSCOCO dataset is a large-scale image captioning dataset, containing 113,287 images with 5,000 validation images and 5,000 test images. The dataset is used for training and...

The MSCOCO 2014 validation dataset is used to evaluate the performance of the proposed self-perceptual objective.

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...