Detection of camera with impaired view

A system comprising:

• a memory comprising instructions;
• and
• one or more computer processors, wherein the instructions, when executed by the one or more computer processors, cause the system to perform operations comprising:
• training a rotation classifier with unsupervised learning utilizing a first plurality of images, the rotation classifier configured to receive an input image and generate a rotation feature embedding for the input image;
• training an impairment classifier with supervised learning utilizing a second plurality of images, impairment labels for each image of the second plurality of images, and the rotation feature embedding, generated by the rotation classifier, for each of the second plurality of images;
• accessing a vehicle image captured by a camera on a vehicle;
• providing the vehicle image to the impairment classifier as input, the impairment classifier providing an output of a camera impairment from a set of camera impairment categories;
• and
• causing presentation on a user interface (UI) of the vehicle image and the camera impairment.

A non-transitory machine-readable storage medium including instructions that, when executed by a machine, cause the machine to perform operations comprising:

• training a rotation classifier with unsupervised learning utilizing a first plurality of images, the rotation classifier configured to receive an input image and generate a rotation feature embedding for the input image;
• training an impairment classifier with supervised learning utilizing a second plurality of images, impairment labels for each image of the second plurality of images, and the rotation feature embedding, generated by the rotation classifier, for each of the second plurality of images;
• accessing a vehicle image captured by a camera on a vehicle;
• providing the vehicle image to the impairment classifier as input, the impairment classifier providing an output of a camera impairment from a set of camera impairment categories;
• and
• causing presentation on a user interface (UI) of the vehicle image and the camera impairment.