ALOT is a color image collection of 250 rough textures, recorded for scientific purposes. In order to capture the sensory variation in object recordings...
The Berkeley Multimodal Human Action Database (MHAD) contains 11 actions performed by 7 male and 5 female subjects in the range 23-30 years of age excep...
is an image recognition dataset for developing unsupervised feature learning, deep learning, self-taught learning algorithms. Like CIFAR-10 with some mo...
natural-imageHouse numbers from Google Street View. Think of this as recurrent MNIST in the wild.
natural-imageThe VENTURI Mountain Dataset is a collection of 12 outdoor sequences, captured with a smartphone and manually verified and annotated with Ground Truth d...
Various benchmarks related to pedestrian detection, classification, segmentation and path prediction. Pedestrian data as observed from on-board a vehicl...
Various benchmarks related to 3D (single, multiple) person tracking and pose recovery from overlapping monocular cameras. In- and outdoor.UvA Multi-Pers...
This dataset is a two-view matching evaluation dataset with extreme viewpoint changes. It includes 15 wide baseline stereo image pairs from publicly ava...
An Annotated Dataset For Near-Duplicate Detection In Personal Photo Collections Managing photo collections involves a variety of image quality assessm...
copyright, duplicate, detection, groundtruth, retrievalLabeled Faces in the Wild is a data set of face photographs designed for studying the problem of unconstrained face recognition. The data set contains m...