Method for deep neural network functional module deduplication

A non-transitory machine-readable medium having instructions stored therein, which when executed by a processor, cause the processor to perform operations, the operations comprising:

• detecting one or more vehicle objects and one or more human objects in a received image, using a single detection function comprising a single artificial intelligence (AI) model, each of the one or more vehicle objects and one or more human objects corresponding to a portion of the image;
• for each of the one or more vehicle objects, processing the corresponding portion of the image to determine a plurality of properties of the vehicle object, and to generate annotations of the corresponding portion of the image with the plurality of properties of the vehicle object;
• for each of the one or more human objects, processing the corresponding portion of the image to determine a plurality of properties of the human object, and to generate annotations of the corresponding portion of the image with the plurality of properties of the human object;
• and
• transmitting the received image, with the annotations of the one or more vehicle objects and one or more human objects, to a service or application that utilizes the annotated image to perform a function of the service or application.

A data processing system, comprising:

• a processor;
• and
• a memory coupled to the processor to store instructions, which when executed by the processor, cause the processor to perform operations, the operations including:
• detecting one or more vehicle objects and one or more human objects in a received image, using a single detection function comprising a single artificial intelligence (AI) model, each of the one or more vehicle objects and one or more human objects corresponding to a portion of the image;
• for each of the one or more vehicle objects, processing the corresponding portion of the image to determine a plurality of properties of the vehicle object, and to generate annotations of the corresponding portion of the image with the plurality of properties of the vehicle object;
• for each of the one or more human objects, processing the corresponding portion of the image to determine a plurality of properties of the human object, and to generate annotations of the corresponding portion of the image with the plurality of properties of the human object;
• and
• transmitting the received image, with the annotations of the one or more vehicle objects and one or more human objects, to a service or application that utilizes the annotated image to perform a function of the service or application.