Accurate evaluation of capsule endoscopy videos plays a crucial role in diagnosing gastrointestinal disorders. One important aspect is the assessment of the cleansing quality, which indicates the visibility of the gastrointestinal mucosa during the examination. In this study, we propose a novel method for assigning a cleansing score to capsule endoscopy videos. Moreover, our system proposes a segmentation masks for each frame, highlighting the regions of the image that are not visible. This additional information aids in the interpretation and analysis of the videos, enabling more accurate diagnoses and improved patient care.