The Photo.net dataset contains 20,278 images with properties to aesthetics, emotion, and image quality. The only differences are that it is a larger dataset, and that only those photos were included in the dataset which have received at least 10 ratings. This ensures greater stability in the average aesthetics scores. See also DPChallenge.com dataset with 16,509 images and the ECCV 2006 dataset on that website. R. Datta, J. Li, and J. Z. Wang, Algorithmic Inferencing of Aesthetics and Emotion in Natural Images: An Exposition, Proc. IEEE ICIP, Special Session on Image Aesthetics, Mood and Emotion, San Diego, CA, 2008.
Image memorability dataset contains target and filler images, precomputed features and annotations, and memorability. It gives features and annotation...
memorability, image quality, semantic, aestheticsAesthetic Visual Analysis (AVA) dataset studies the organization of content by aesthetic preference. It contains over 250,000 images along with a rich v...
memorability, image quality, semantic, aestheticsThe 3D Mask Attack Database (3DMAD) is a biometric (face) spoofing database. It currently contains 76500 frames of 17 persons, recorded using Kinect for...
face, emotion, segmentation, 3d, recognition, biometry, frontviewGroup emotion recognition in images - Happiness Intensity labels for group of people in images. The images have been collected from Flickr using keyword...
emotion, wild, flickr, behavior, group, human, facial expressionThis database contains 60,000 images with memorability scores. The images come from a variety of datasets including SUN, COCO, image popularity, AVA, an...
objects, scenes, aesthetics, popularity, memorabilityThe multi-modal/multi-view datasets are created in a cooperation between University of Surrey and Double Negative within the EU FP7 IMPART project. Th...
rgbd, color, dynamic, multi-view, action, outdoor, video, 3d, face, emotion, lidar, human, indoor, multi-mode, model