CVC-05: Partially Occluded Pedestrian Dataset

Date:24 Apr, 2016

CVC-05: Partially Occluded Pedestrian Dataset

    CVC09_FIR_Crops

    This is a partially occluded pedestrian dataset. The dataset consists of 593 positive frames with annotated pedestrians (with their corresponding horizontal mirrors).

    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, A.M. López, J. Amores and L.I. Kuncheva, Occlusion handling via random subspace classifiers for human detection. In IEEE Transactions on Systems, Man, and Cybernetics (Part B) (ITSMC-B), 2013.

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