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docs: Update README
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kamilzyla committed Sep 22, 2022
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[![DOI:10.1101/2020.09.12.294538](https://zenodo.org/badge/DOI/10.1101/2020.09.12.294538.svg)](https://doi.org/10.1101/2020.09.12.294538)

A desktop application that allows bioconservation researchers
A desktop application which allows bioconservation researchers
to classify camera trap animal images and analyze the results.

Application landing page: https://appsilon.com/data-for-good/mbaza-ai/
### Links

### Useful files

* [Windows installer](https://github.com/Appsilon/mbaza/releases/download/v1.3.1/Mbaza.AI.Setup.1.3.1.exe) (v1.3.1)
* [User Guide](https://github.com/Appsilon/mbaza/releases/download/v1.2.1/Mbaza.AI.user.guide.v1-2-1.EN.pdf)
/ [Mode d’emploi](https://github.com/Appsilon/mbaza/releases/download/v1.2.1/Mbaza.AI.user.guide.v1-2-1.FR.pdf) (v1.2.1)
* [Latest release](https://github.com/Appsilon/mbaza/releases/latest):
installers for Windows, MacOS and Linux.
* [Landing page](https://appsilon.com/data-for-good/mbaza-ai/):
information, testimonials, news.
* [User guide](https://github.com/Appsilon/mbaza/releases/download/v1.2.1/Mbaza.AI.user.guide.v1-2-1.EN.pdf)
/ [Mode d’emploi](https://github.com/Appsilon/mbaza/releases/download/v1.2.1/Mbaza.AI.user.guide.v1-2-1.FR.pdf) (v1.2.1)

## Development

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3. README and code comments are updated.
4. Changes are tested (manually or with automated tests):
1. No existing functionality is broken.
2. Installed app works well on Windows and Linux.
2. Installed app works well on all systems.
3. The app can handle sample data available on our
[Drive](https://drive.google.com/drive/folders/1eQWuf5WCT429xogQ2HiZqapehvweAtxP).
5. The code adheres to
[Airbnb style guide](https://github.com/airbnb/javascript) for JavaScript code
and to [PEP 8](https://www.python.org/dev/peps/pep-0008/) for Python.
5. The code adheres to the [Airbnb style guide](https://github.com/airbnb/javascript).

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