PetroSeg PS
Description
PetroSeg is a user-friendly web application for unsupervised image segmentation, particularly optimized for thin section images and microscopic analysis. Developed with Streamlit and PyTorch, this application enables users to upload images, adjust segment colors, and download segmented outputs. The latest version incorporates TensorFlow and Tkinter for an enhanced, intuitive user interface.
Please cite the app as follow:
Azzam, F., Blaise, T., & Brigaud, B. (2024). Automated petrographic image analysis by supervised and unsupervised machine learning methods. Sedimentologika, 2(2). https://doi.org/10.57035/journals/sdk.2024.e22.1594
Author
This dataset has been published on the initiative and under the responsibility of Fares Azzam.
Latest update
November 12, 2024
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ID
66e8451d96232ea960e272d7
Temporality
Creation
September 16, 2024
Frequency
Punctual
Latest update
November 12, 2024
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