The Active Segmentation Platform for ImageJ (ASP/IJ) aims to provide a general-purpose workbench that allows biologists and other domain experts to access state-of-the-art techniques in machine learning to achieve excellent image segmentation and classification. This project focuses on enhancing the functionality and user experience of ASP/IJ by updating its user interfaces and developing a new visualization and reporting panel using the Weka (Waikato Environment for Knowledge Analysis) library. This panel will enable users to easily utilize Weka's advanced visualization and analysis tools, thereby facilitating image segmentation and classification.