Device and computer implemented method for evaluating a digital image

A device configured to evaluate a digital image, the device comprising:

• at least one processor;
• and
• at least one storage configured to store the digital image and instructions that, when executed by the at least one processor, cause the at least one processor to perform the following steps:
• providing the digital image,
• providing a first part of a predetermined model, wherein the predetermined model is configured for determining a semantic segmentation of the digital image with a second part of the predetermined model, wherein the first part is configured to determine a feature depending on the digital image, and wherein the second part is configured to determine the semantic segmentation depending on the feature,
• determining the feature depending on the digital image with the first part,
• providing a set of quantizations for quantizing the feature,
• determining a quantization of the feature depending on the set of quantizations and depending on the feature,
• determining a quantization error depending on the feature and the quantization, and
• evaluating the digital image depending on the quantization error;
• wherein the at least one processor is configured to execute the instructions.

A non-transitory computer-readable storage medium on which is stored a program including instructions for evaluating a digital image, the instructions, when executed by at least one processor, cause the at least one processor to perform the following steps:

• providing the digital image;
• providing a first part of a predetermined model, wherein the predetermined model is configured for determining a semantic segmentation of the digital image with a second part of the predetermined model, wherein the first part is configured to determine a feature depending on the digital image, and wherein the second part is configured to determine the semantic segmentation depending on the feature;
• determining the feature depending on the digital image with the first part;
• providing a set of quantizations for quantizing the feature;
• determining a quantization of the feature depending on the set of quantizations and depending on the feature;
• determining a quantization error depending on the feature and the quantization;
• and
• evaluating the digital image depending on the quantization error.