This software enables experimentation with causal inference techniques aimed at identifying and analyzing the cause of shadow appearance in an image. Through this approach, it seeks to apply advanced causal inference methods to determine the variables and factors contributing to the presence of shadows, thereby allowing for a deeper understanding of the underlying processes in image formation. The experiment not only focuses on shadow detection but also on identifying causal relationships between different elements of the image, thus providing a solid framework for future studies and applications in the field of image processing and computer vision. This work demonstrates how causal inference can be a powerful tool to enhance the analysis and interpretation of visual data, opening new possibilities for research and development in this area.