The Near-Regular Textures dataset contains textures from completely regular to completely irregular patterns, with a focus on near-regular textures. It al…
regular, stochastic, symmetry, texture classification, texture segmentationThe Yale Face dataset from A. Georghiades contains 5760 single light source images of ten subjects, each shown in 9 poses and 64 illumination setups (lead…
face detection, illumination, pedestrian, pose estimationPN Learning - How does TLD work? Tracking estimates the object location as long as the object is visible. During tracking all observed patterns of the o…
bike, face, learning, object tracking, pedestrian, singletargetThe Babenko tracking dataset contains 12 video sequences for single object tracking. For each clip they provide (1) a directory with the original ima…
animal, face, object tracking, occlusion, single, video1521 images with human faces, recorded under natural conditions, i.e. varying illumination and complex background. The eye positions have been set manuall…
detectionThe data is taken from Photo Tourism reconstructions from Trevi Fountain (Rome), Notre Dame (Paris) and Half Dome (Yosemite). Each dataset consists of a s…
feature description, feature matching, pair, sfmThe CALTECH 101 Category Patch Pairs dataset measures invariance to intra-category variation. The dataset contains a training set and testing set of imag…
binary, feature description, feature matching, pairCMP Dataset by Ondra Chum contains 5 million images collected from the internet.
image retrieval, large scale, urbanThe Paris dataset consists of 6412 images. Images have high resolution and are in JPEG format. http://www.robots.ox.ac.uk/~vgg/data/parisbuildings/pari…
image retrieval, landmark, paris, urbanThe Oxford Buildings dataset by James Philbin and Andrew Zisserman consists of 5062 images collected from Flickr by searching for particular Oxford landma…
image retrieval, landmark, oxford, urban