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根据带有时间戳的照片获得地面实况数据集,用于培训和测试

根据带有时间戳的照片获得地面实况数据集,用于培训和测试

Scene:

Computer

Data Type:

Classification
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Data Preview ? 328K

    Data Structure ?

    *数据结构实际以真实数据为准

    Luis Candanedo, luismiguel.candanedoibarra '@' umons.ac.be, UMONS.


    Data Set Information:

    Three data sets are submitted, for training and testing. Ground-truth occupancy was obtained from time stamped pictures that were taken every minute.
    For the journal publication, the processing R scripts can be found in:
    [Web link]


    Attribute Information:

    date time year-month-day hour:minute:second
    Temperature, in Celsius
    Relative Humidity, %
    Light, in Lux
    CO2, in ppm
    Humidity Ratio, Derived quantity from temperature and relative humidity, in kgwater-vapor/kg-air
    Occupancy, 0 or 1, 0 for not occupied, 1 for occupied status


    Relevant Papers:

    Accurate occupancy detection of an office room from light, temperature, humidity and CO2 measurements using statistical learning models. Luis M. Candanedo, V??ronique Feldheim. Energy and Buildings. Volume 112, 15 January 2016, Pages 28-39.



    Citation Request:

    Please cite the following publication:
    Accurate occupancy detection of an office room from light, temperature, humidity and CO2 measurements using statistical learning models. Luis M. Candanedo, V??ronique Feldheim. Energy and Buildings. Volume 112, 15 January 2016, Pages 28-39.

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