Described herein is a high confidence ground truth information service executing on a network of edge computing devices. A variety of participating devices obtain high confidence ground truth information relating to objects in a local environment. This information is communicated to the ground truth information service, where it may be verified and aggregated with similar information before being communicated as part of an acquired ground truth dataset to one or more subscribing devices. The subscribing devices use the ground truth information, as included in the ground truth dataset, to both validate and improve their supervised learning systems.
VALIDATION AND TRAINING SERVICE FOR DYNAMIC ENVIRONMENT PERCEPTION BASED ON LOCAL HIGH CONFIDENCE INFORMATION