Vehicle neural network

A system, comprising a computing device including:

• a processor;
• and
• a memory, the memory including instructions executable by the processor to:
• train a deep neural network based on plurality of real-world images;
• determine the accuracy of the deep neural network is below a threshold based on identifying one or more physical features by the deep neural network, including one or more object types, in the plurality of real-world images;
• generate a plurality of synthetic images based on determining the accuracy of the deep neural network is below a threshold based on identifying the one or more physical features using a photo-realistic image rendering software program and a generative adversarial network wherein the plurality of synthetic images include noise characteristics including environmental conditions that are underrepresented in the plurality of real-world images;
• retrain the deep neural network based on the plurality of real-world images and the plurality of synthetic images;
• and
• output the retrained deep neural network.