CVC-14: Visible-FIR Day-Night Pedestrian Sequence Dataset

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Date:01 Jun, 2016

CVC-14: Visible-FIR Day-Night Pedestrian Sequence Dataset

    The dataset is composed by two sets of sequences. These sequences are named as the day and night sets,  which refers to the moment of the day they were acquired, and Visible and FIR depending the camera that was user to recor the sequences. For training 3695 imegas during the day, and 3390 images during night, with around 1500 mandatory pedestrian annotated for each sequence. For testing around 700 images for both sequences with around 2000 pedestrian during day, and around 1500 pedestrian during night.


    Disclaimer: Please, read the terms of use before downloading the dataset.

    CVC-14: Visible-FIR Day-Night Pedestrian Sequence Dataset

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    About us

    Elektra is an autonomous vehicle project developed by research groups from the CVC research center and the UAB and UPC universities.

    Our main objectives are boosting the research in self-driving technology and forming highly qualified engineers.

    Our vision

    We imagine cities with a centralized mobility system to move safely, comfortably, saving energy and minimizing congestion. The city controls a fleet of automated vehicles that cooperate among them and with the city infrastructure.

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    Our funding mainly comes from public competitive and technological transfer projects.

    We would like to acknowledge to the Spanish project TRA2014-57088-C2-1-R and NVIDIA for the donated hardware.

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