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.