Object outline generation from overhead imagery using action sequence prediction

Abstract

Some implementations relate to using a trained machine (ML) model to identify object boundaries from overhead imagery. The ML model may be trained by obtaining training data including overhead images of a scene and corresponding user input actions and being trained based on the training data. The ML model obtains overhead imagery that depicts a plurality of objects having an unknown object boundary. The trained ML model generates predicted sequences of user input actions associated with object boundaries of the plurality of objects in the overhead imagery. Object boundaries of the plurality of objects are determined based on the predicted sequences of user input actions.