is an image recognition dataset for developing unsupervised feature learning, deep learning, self-taught learning algorithms. Like CIFAR-10 with some modi…
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 dat…
Various benchmarks related to pedestrian detection, classification, segmentation and path prediction. Pedestrian data as observed from on-board a vehicle …
Various benchmarks related to 3D (single, multiple) person tracking and pose recovery from overlapping monocular cameras. In- and outdoor.UvA Multi-Person…
This dataset is a two-view matching evaluation dataset with extreme viewpoint changes. It includes 15 wide baseline stereo image pairs from publicly avail…
An Annotated Dataset For Near-Duplicate Detection In Personal Photo Collections Managing photo collections involves a variety of image quality assessmen…
copyright, detection, duplicate, 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 mor…
The dataset contains 474 video clips from 215 crowded scenes. Each clip with the extracted trajectories bygKLT trackeris preprocessed by deleting short tr…
The Educational Resource Centre (ERCe) dataset was collected from a publicly accessible webcam deployed on a university campus across about 2 months for s…