6 datasets found

VAW dataset (Pham et al., 2021) is a large-scale visual attributes dataset with bounding box labels for the attribution annotation.

The dataset contains 1 million images collected from Flickr, along with textual tags, aesthetic annotations, and EXIF meta-data.

The dataset contains 17,690 images obtained from a variety of on-line communities and divided into 7 semantic categories.

The dataset contains 3,581 images from the social network Photo.net, along with aesthetic and originality scores.

The CUHK dataset consists of 88 real sketches and photos for training, and 100 real sketches and photos for testing.

AVA: A large-scale database for aesthetic visual analysis. AVA contains more than 250,000 images along with preference score distributions and textual comments given to images...