A method is described for ascertaining a state of a vehicle light of a vehicle. The method includes a step of reading in and a step of evaluating. In the step of reading in, an image signal is read in that includes a camera image including a vehicle area of a detected vehicle. In the step of evaluating, the image signal is evaluated by using an artificial teachable model, in particular an artificial neural network. Here, at least two state categories, each representing a state of the vehicle light of the vehicle, are differentiated. That state category is ascertained as the evaluation result which represents the instantaneous state of the vehicle light of the vehicle.