Abstract: A computing system can perform image classification within a displayed image, while performing the image classification, determine that a first object of an object class is present within the displayed image, present a prompt within the displayed image, receive, in response to the prompt, a selection of the first object from a user, in response to receiving the selection of the first object, perform a function on the first object, based on the selection of the first object in response to the prompt, determine that the user is familiar with the function, based on determining that the user is familiar with the function, terminate performing image classification within the displayed image, and in response to the user selecting a second object of the object class within the displayed image, perform the function on the second object.

Abstract: Provided are methods, systems, and devices for generating semantic objects and an output based on the detection or recognition of the state of an environment that includes objects. State data, based in part on sensor output, can be received from one or more sensors that detect a state of an environment including objects. Based in part on the state data, semantic objects are generated. The semantic objects can correspond to the objects and include a set of attributes. Based in part on the set of attributes of the semantic objects, one or more operating modes, associated with the semantic objects can be determined. Based in part on the one or more operating modes, object outputs associated with the semantic objects can be generated. The object outputs can include one or more visual indications or one or more audio indications.