IoT training for Omron d6t sensor


I have a couple of IoT datasets I would like to train to identify when an occupant is present or not. How do I go about preparing this datasets?

I’ve been able to split the dataset to 2 folders where one signifies when people are present in the room and the other when nobody is present in the room.

PS: They are heatmaps from an omron d6t sensor

Hi you can try to save those heatmaps as images or numpy file and then label the data using 2 different labels.
and then create a CSV file for that and upload the data on the DLS.