Daimler Multi-Cue, Occluded Pedestrian Classification Benchmark Training and test samples have a resolution of 48 x 96 pixels with a 12-pixel border aro…
image classification, object detection, pedestrian, urbanThe 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, pedestrianDaimler Stereo Pedestrian Detection Benchmark C. Keller, M. Enzweiler, and D. M. Gavrila, A New Benchmark for Stereo-based Pedestrian Detection, Proc. …
object detection, pedestrian, urbanThe BIWI Walking Pedestrians (EWAP) dataset shows walking pedestrians in busy scenarios from a bird eye view. Manually annotated. Data used for training i…
aerial, crowd, object detection, object tracking, occlusion, overlap, pedestrian, trajectoryWe take advantage of our autonomous driving platform Annieway to develop novel challenging real-world computer vision benchmarks. Our tasks of interest ar…
depth, detection tracking, object detection, object tracking, odometry, optical flow, reconstruction, segmentation, semantic car depth, sfm, stereoThe 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, pedestrianThe INRIA People dataset from Navneet Dalal and Bill Triggs [DalalCVPR2005] consists of training and testing data. The training contains 1805 images and X…
boundingbox, frontview, human, object detection, pedestrian, sideviewThe Buffy dataset contains images selected from the TV series, Buffy: the Vampire Slayer. We select a set of 452 images from the first two episodes for tr…
buffy, human, movie, object detection, segmentationThe PSU HUB dataset is a detection, tracking dataset. Ground truth trajectory and grouping information for pedestrians walking in the PSU student union bu…
crowd, object detection, object tracking, occlusion, overlap, pedestrian, trajectoryThe goal of LabelMe is to provide an online annotation tool to build image databases for computer vision research. You can contribute to the database by v…
object detection, outdoor, semantic, semantic segmentation, software, urbanThe PETS 2006 dataset contains 7 parts showing multi-sensor sequences containing left-luggage scenarios with increasing scene complexity at a train statio…
frontview, indoor, multitarget, object detection, object tracking, pedestrianThe TUD Pedestrians training dataset from Micha Andriluka, Stefan Roth and Bernt Schiele consists of 210 and 400 training images with X pedestrians with s…
object detection, pedestrian, segmentation, sideviewThe Caltech Pedestrian Dataset consists of approximately 10 hours of 640x480 30Hz video taken from a vehicle driving through regular traffic in an urban e…
object detection, pedestrian, urbanThe 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, pedestrianThis dataset is for people tracking in wide baseline camera networks and was designed as a contest at ICPR 2012. The contest consists of two challenges…
aerial, crowd, object detection, object tracking, occlusion, overlap, pedestrian, trajectoryMIT Pedestrian dataset from Papageorgiou and Poggio [IJCV2000] contains 509 training and 200 test images of pedestrians in city scenes (plus left-right re…
boundingbox, frontview, object detection, pedestrian, people, urbanThe TUD Campus dataset from Micha Andriluka, Stefan Roth and Bernt Schiele consists of 71 images and 303 highly overlapping pedestrians with large scale c…
object detection, object tracking, overlap, pedestrian, segmentation, sideviewWe would like to announce the release of PASCAL-Context dataset. We augmented PASCAL VOC 2010 dataset with annotations for 400+ additional categories. In …
benchmark, category, dense, pascal, recognition, segmentation, semantic, shapeThe TUD Pedestrians dataset from Micha Andriluka, Stefan Roth and Bernt Schiele [AndrilukaCVPR2008] consists of 250 images with 311 fully visible people w…
object detection, pedestrian, segmentation, sideviewWe provide the three datasets used for testing our system for our ICCV 2007 publication, including annotations. Data was recorded using a pair of AVT Marl…
crowd, object detection, object tracking, occlusion, overlap, pedestrian, trajectoryThe PASCAL VOC is augmented with segmentation annotation for semantic parts of objects. For example, for the person category, we provide segmentation mask…
detection, human, object, part, pascal, pedestrian, recognition, segmentation, semanticThe ICG Graz240 dataset consists of 240 buildings with 5400 redundant images with a total of 5542 window instances. Window detection itself is difficult d…
graz, object detection, semantic, semantic segmentation, urbanThe Semantic Description of Human Activities (SDHA) was a contest at ICPR 2010. The contest is composed of three different types of activity recognitio…
aerial, crowd, object detection, object tracking, occlusion, overlap, pedestrian, trajectory