Testing a neural network

A system-for testing the output of a trained neural network having a plurality of layers, which detects or classifies objects, comprising:

• an interface for obtaining at least one result and the confidence value thereof, which is generated in at least one first layer of the trained neural network during an inference process;
• a plausibility tester for checking the result by taking into consideration the confidence value thereof so as to conclude whether the object detection by the trained neural network during the inference process is correct or false,
• an output interface for outputting objects detected or classified by the trained neural network,
• wherein the plausibility tester compares the confidence value for the result with a predefined threshold value, and
• wherein the plausibility tester prevents output of an object falsely detected by the trained neural network inasmuch as the plausibility tester has concluded that the object detection is false during the inference process.