Method for Acquiring Data with the Aid of Surgical Microscopy Systems

System for acquiring data for machine learning, wherein the system comprises:

• at least one surgical microscopy system;
• a database having a data memory;
• and
• a module;
• wherein the database and the module are arranged remotely from the at least one surgical microscopy system;
• wherein the at least one surgical microscopy system is configured for:
• recording a new data set comprising a multiplicity of images;
• analysing the new data set;
• and
• deciding whether or not the new data set ought to be stored in the data memory, specifically using an existing classifier on the basis of the analysis of the new data set;
• transmitting the new data set to the database if it was decided that the new data set ought to be stored;
• not transferring the new data set to the database if it was decided that the new data set ought not to be stored;
• receiving a new classifier and replacing the existing classifier with the new classifier received;
• and
• using the new classifier when it is decided whether or not a subsequently recorded new data set ought to be stored in the data memory;
• wherein the database is configured for:
• receiving the new data set transmitted by the at least one surgical microscopy system;
• and
• storing the new data set received in the data memory,
• wherein the module is configured for:
• determining the new classifier on the basis of training data which comprise the data sets stored in the data memory of the database and/or comprise data obtained from the data sets stored in the data memory of the database;
• and
• transmitting the new classifier to the at least one surgical microscopy system.