Room Occupancy Estimation dataset

The Room Occupancy Estimation dataset contains 10,130 time-series samples with the four classes {0, 1, 2, 3}. Each sample has 14 features extracted from environmental sensors such as temperature, light, sound, CO2 and PIR. The goal is to predict the precise number of occupants in a room.

Data and Resources

Cite this as

Dohyeok Kwon, Jonghwan Park, Songnam Hong (2024). Dataset: Room Occupancy Estimation dataset. https://doi.org/10.57702/qiiq1uo8

DOI retrieved: December 3, 2024

Additional Info

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Created December 3, 2024
Last update December 3, 2024
Defined In https://doi.org/10.48550/arXiv.2205.06491
Author Dohyeok Kwon
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Jonghwan Park
Songnam Hong
Homepage https://www.kaggle.com/c/room-occupancy-estimation/data