|Description (include details on usage, files and paper references)||The TUD Pedestrians dataset from Micha Andriluka, Stefan Roth and Bernt Schiele [AndrilukaCVPR2008] consists of 250 images with 311 fully visible people with significant variation in clothing and articulation.
The dataset is typically used for single-frame detector evaluation. The protocol entails training on the TUD Pedestrian training dataset and its specifications. The evaluation criterion is the PASCAL 50%.
[GallCVPR2009] used the TUD Pedestrian 400 image training set and INRIA background images, as specified in [AndrilukaCVPR2008].
It was used by [GallCVPR2009], ISMLeibe, AndrilukaCVPR2008, etc... Gall has graphs in his package.