A GUI of Foundational Model Toolbox for Image Segmentation
- Mentors
- Özgür Kara, Babak Mahmoudi, Mahmoud Zeydabadinezhad
- Organization
- Department of Biomedical Informatics, Emory University
- Technologies
- python, javascript, html, flask, css, pytorch, Gradio, Hugginface
- Topics
- machine learning, computer vision, gui, Image Segmentation, Foundation models
This proposal highlights some key points and expected results of the project. The project proposes developing an open-source Graphical User Interface (GUI) that integrates with various foundational models for image segmentation tasks. A key strength lies in its ability to leverage multiple models, empowering users to tackle diverse image segmentation challenges. I propose completing this project in three phases: First, we will determine the range of image segmentation domains covered by our application. Then, we will select frameworks to design the GUI's frontend and backend sides. Lastly, We will test the GUI for user-friendliness and prepare it for open-source release, along with the complete documentation