The dataset contains 11202 ambiguous image pairs collected from Visual Genome. Each image pair is annotated with 4.6 discriminative questions and 5.9 non-discriminative questions on average. The dataset is used in our ICCV 2017 paper "Learning to Disambiguate by Asking Discriminative Questions". (http://personal.ie.cuhk.edu.hk/~ccloy/files/iccv_2017_learning.pdf)
AWS hosts a variety of public datasets that anyone can access for free. Previously, large datasets such as satellite imagery or genomic data have requi...
space, human, recognition, image, amazon, satellite, segmentation, learning, deep, classification, biology, resolutionThis is the database of biological images (from the genetics model system, Drosophila melanogaster, a fruit fly) across multiple levels of variation. ...
classification, fly, biology, animal, variation, geneticThe database contains, for each of the 100 examples: (1) the uncompressed frames, up to the 10th frame after the appearance of the 8th cell; (2) a text ...
trajectory, circle, mouse, biology, cell, trackingPermanently growing database on lung tuberculosis patients. The data include radiological images (CT+XRay) plus social, clinical, and lab data as well a...
medical, segmentation, xray, chest, genome, none, tuberculosis, ctWordNet is a large lexical database of English. Nouns, verbs, adjectives and adverbs are grouped into sets of cognitive synonyms (synsets), each express...
language, category, classification, imagenet, hierarchyThe .enpeda.. Image Sequence Analysis Test Site (EISATS) offers sets of long bi- or trinocular image sequences recorded in the context of vision-based d...
motion, stereo, analysis, flow, segmentation, optical, semantic, visionThe Musk database describes molecules occurring in different conformations. Each molecule is either musk or non-musk and one of the conformations determ...
biology, health