Welcome to the Image Segmentation Model Visualisation repository. This repository provides a clear and interactive visualisation for training an image segmentation model using Python.

The visualisation is live and can be accessed at: https://olivervu25-segmentationtrainingvisualisation-dashboard-kjvauo.streamlit.app/
Note: For the best viewing experience, set the display to Wide mode and choose the Light theme to match the original version.

- Interactive Progress: Monitor the progress of model training with an intuitive progress bar.
- Dynamic Visualisation: View the accuracy and other metrics of the model over epochs, with visual indicators for significant moments.
- Integrated with Streamlit: Easily run and view the visualization with Streamlit's user-friendly interface.
This project was developed by Thanh Long Vu as a part of the unit MXB362: Advanced Visualisation and Data Science - Queensland University of Technology.