CVC-04: Virtual-World Pedestrian Dataset 2

Date:23 Apr, 2016

CVC-04: Virtual-World Pedestrian Dataset 2

    CVC09_FIR_Crops

    This is the virtual pedestrian dataset, generated using Half-Life 2 graphics engine. The dataset consists of 1208 virtual pedestrians (with their corresponding horizontal mirrors) and 6828 pedestrian-free background images to extract negatives for training.

    Disclaimer: Please, read the terms of use before downloading the dataset.
    When using this dataset in your research, we will be happy if you cite us
    D. Vázquez, J. Marín, A.M. López, D. Ponsa and D. Gerónimo, Virtual and Real World Adaptation for Pedestrian Detection. In IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), 2014.

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