Physical markers for labelling

Method for generating classification information for an automated image analysis related to a local feature of an object in an image, the method comprising steps of

• obtaining a plurality of images of the object;
• detecting at least one physical marker device applied adjacent to the local feature of the object in at least one image of the acquired plurality of images;
• computing, for each detected at least one physical marker device, a region of interest in the at least one image based on predetermined relative location information associated with the at least one physical marker device;
• generating mask information based on the computed region of interest and storing the generated mask information associated with the at least one image as training information;
• and
• generating classification information for the automated image analysis related to the local feature by training a model using the stored training information.

System for generating image data for generating training information for an automated image analysis related to a local feature in an image, the system comprising

• at least one physical marker device applied adjacent to the local feature of an object;
• at least one camera sensor configured to acquire a plurality of images of the object;
• and
• a memory configured to store the plurality of images.

System for generating classification information for an automated image analysis related to a local feature of an object in an image, the system comprising

• a processor configured to acquire a plurality of images of the object;
• the processor is further configured to detect at least one physical marker device in at least one image of the acquired plurality of images,
• to compute, for each detected at least one physical marker device, a region of interest in the at least one image based on predetermined relative location information associated with the physical marker device,
• to generate mask information based on the computed region of interest, and
• to store the generated mask information associated with the at least one image as training information in the memory, and
• to generate the classification information for the automated image analysis related to the local feature by training a model using the stored training information.