The Graz02 dataset by Andreas Opelt and Axel Pinz contains four categories of images: bikes, people, cars and a single background class. The annotation ha…
background, bike, car, clutter, graz, object detection, pedestrianThe Cambridge-driving Labeled Video Database (CamVid) dataset from Gabriel Brostow [?] contains ten minutes of video footage and corresponding semanticall…
3d reconstruction, depth, semantic, semantic segmentation, sfm, urbanThe ECP New York dataset contains 10 manually segmented buildings from New York City, USA. Segmentation evaluating using Dice coefficient is calculated fo…
newyork, procedural reconstruction, semantic, semantic segmentation, urbanThe ECP Paris 2011 dataset consists of 104 images taken from rue Monge in the fifth district of Paris, we kept only 20 for training and 10 for testing. …
paris, procedural reconstruction, semantic, semantic segmentation, urbanThe MIT + CMU frontal face dataset from H. Rowley contains 130 images with 507 labeled frontal faces from movie, portrait and media sources. It is mostly …
detection object boundingbox, face, face detection, frontviewIdiap/ETHZ Faces and Poses Dataset dataset by L. Jie, B. Caputo and V. Ferrari contains 1703 image-caption pairs. [author] Captions contain the names of s…
face detection, object pose, pedestrian, textThe We Are Family Stickmen dataset from Eichner and Ferrari contains X images with X people in group photos for human pose estimation with annotated 2D hu…
body part, object pose, pedestrianThe PASCAL VOC Challenge datasets by Mark Everingham is a yearly dataset which has a central evaluation server and the final test data is not released. Th…
airplane, animal, building, car, chair, object detection, object pose, object segmentation, pedestrianThe Graz01 dataset by Andreas Opelt and Axel Pinz contains four types of images: bikes, people, background with no bikes, background with no people.
background, bike, clutter, graz, object detection, occlusion, pedestrian