CVC-03: Virtual-World Pedestrian Dataset

Date:22 Apr, 2016

CVC-03: Virtual-World Pedestrian Dataset

    CVC09_FIR_Crops

    This is the virtual pedestrian dataset, generated using Half-Life 2 graphics engine. The dataset consists of 1678 virtual pedestrians (with their corresponding horizontal mirrors) and 2048 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
    J. Marín, D. Vázquez, D. Gerónimo and A.M. López, Learning appearance in virtual scenarios for pedestrian detection. In Proceedings of the IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), San Francisco, CA, USA, 2010.

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