Cluster-based and autonomous finding of reference information

A non-transitory computer readable medium for cluster-based and autonomous finding of reference information, the non-transitory computer readable medium stores instructions for:

• obtaining a group of untagged images, each untagged image captures an instance of an item;
• wherein at least some of the untagged images capture different instances of the item;
• obtaining multiple sets of item pixels from the untagged images of the group, each set originated from an untagged image of the group and comprises multiple item pixels;
• determining item features of the item for each set, based on the multiple item pixels of the set and;
• repeating, until reaching an end condition the steps of:
• a. selecting some of the sets as centroids;
• b. clustering the item features of the some of the sets to provide clusters, wherein the clustering is based, at least in part, on the centroids;
• and
• c. removing members of a cluster that has less members than another cluster;
• defining untagged images that are associated with a member of any remaining cluster as reference images or as reference image candidates.