Tagging algorithms that discriminate between massive large-R QCD jets and large-R jets that capture the decays of W/Z boson or top quarks are developed. The methods of tagging these objects are described. In order to improve the boosted taggers performance and the precision on the tagging efficiency and rejection new in-situ techniques are applied. The precision obtained by applying the in-situ techniques is presented. Performance of machine learning taggers are also presented.