CVC-01: Onboard Sequence Pedestrian Dataset

Date:20 Apr, 2016

CVC-01: Onboard Sequence Pedestrian Dataset


    This pedestrian datasetwas recorded in the surreoundings of Barcelona and annotated by the CVC ADAS group in order to evaluate the pedestrian detection algorithms developed. It was originally named CVC-CER-01. Its main features are the following:

    • 1000 manually annotated pedestrians (with the corresponding 1000 mirror images)
    • 6175 random non-pedestrians windows from the road area (i.e., no sky or easy samples)
    • Original scale PNG files

    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. Gerónimo, A.D. Sappa, A. López, D. Ponsa. Adaptive image sampling and windows classification for on-board pedestrian detection. In Proceedings of the International Conference on Computer Vision Systems (ICCVS), Bielefeld, Germany, 2007.

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