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

License

Creative Commons Attribution

Metadata quality
77.77777777777779/100

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Information

Temporality

Creation

September 16, 2024

Frequency

Punctual

Latest update

November 12, 2024

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Statistics for the year

Views

351

47 in Dec 2024

Downloads

54

14 in Dec 2024

Reuses of this dataset

0

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0