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Docker-compose setup for web-app exposing KSO machine learning models

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KSO App

The Koster Seafloor Observatory is an open-source, citizen science and machine learning approach to analyse subsea movies.

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high-level

Module Overview

This Koster app module contains scripts and resources to expose trained machine learning models using Docker Compose. The frontend consists of a Streamlit application and the backend is powered by FastAPI.

Koster_app_module

License

Distributed under the MIT License. See LICENSE.txt for more information.

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Contact

Jannes Germishuys - email

Project Link: https://github.com/ocean-data-factory-sweden/koster_app

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Docker-compose setup for web-app exposing KSO machine learning models

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  • Python 92.0%
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