Pattern detection is part of many solutions to software engineering problems and high accuracy of detection is important to help solve the actual problems. The improvement in accuracy of design pattern detection approaches requires some way of evaluating competing approaches. Currently, there are slightly different methods used in the design pattern detection community to evaluate accuracy. We show that these differences may greatly influence the accuracy results, which makes it nearly impossible to compare the quality of different pattern detectors. We do not propose a uniform solution, but rather a description framework, which can be used to improve the situation. We also propose a community effort to create a standard benchmark suit for evaluations.