Daimler Monocular Pedestrian Detection
The Daimler Monocular Pedestrian Detection dataset is a dataset for pedestrian detection in urban environments. The training set contains 15560 pedestrian samples (image cut-outs at 48×96 resolution) and 6744 additional full images without pedestrians for extracting negative samples. The test set contains an independent sequence with more than 21790 images and 56492 pedestrian labels (fully visible or partially occluded), captured from a vehicle during a 27 min driving through the urban traffic.
Source: A Large Scale Urban Surveillance Video Dataset for Multiple-Object Tracking and Behavior AnalysisPapers
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