HPDmobile H3 Image Zone Labels

Contains files for each hub and day with binary zone based occupancy, indicating if a human is present in the image (1) or not (0). These were automatically generated with the yoloV5 object detection algorithm (https://github.com/ultralytics/yolov5), and a subset was manually verified by a human. Overall for the home, the probability of an image labeled as occupied actually containing a human is 86%, and the probability of an image labeled as vacant not containing a person is 93%, based on the validated samples. Individual probabilities by hub vary from the whole house level, and can be found in the meta data file.