https://github.com/Appsilon/mbaza

Save 99% of Your Time Classifying Camera-Trap Footage. Completely Free.
https://github.com/Appsilon/mbaza

biodiversity camera-traps

Last synced: 8 days ago
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Save 99% of Your Time Classifying Camera-Trap Footage. Completely Free.

• Host: GitHub
• URL: https://github.com/Appsilon/mbaza
• Owner: Appsilon
• License: agpl-3.0
• Created: 2020-03-05T10:57:41.000Z (almost 5 years ago)
• Default Branch: main
• Last Pushed: 2024-12-02T11:52:08.000Z (10 days ago)
• Last Synced: 2024-12-02T12:32:52.408Z (10 days ago)
• Topics: biodiversity, camera-traps
• Language: TypeScript
• Homepage: https://appsilon.com/data-for-good/mbaza-ai/
• Size: 207 MB
• Stars: 31
• Watchers: 24
• Forks: 7
• Open Issues: 48
• Metadata Files:
  • Readme: README.md
  • Contributing: CONTRIBUTING.md
  • License: LICENSE

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• jimsghstars - Appsilon/mbaza - Save 99% of Your Time Classifying Camera-Trap Footage. Completely Free. (TypeScript)

README

        
# Mbaza

[![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 which allows bioconservation researchers

to classify camera trap animal images and analyze the results.

## Installation

Visit the [latest release page](https://github.com/Appsilon/mbaza/releases/latest)

and download Mbaza installer for your system

(`X.Y.Z` will be the version number, e.g. `2.0.0`):

* Windows: `Mbaza.AI.Setup.X.Y.Z.exe`

* Linux: `Mbaza.AI-X.Y.Z.AppImage`

* macOS:

    * :warning: Mbaza requires additional setup to run on macOS. Read the instructions below.

    * x86-64 (Intel): `Mbaza.AI-X.Y.Z-mac.zip`

    * ARM64 (Apple M1): `Mbaza.AI-X.Y.Z-arm64-mac.zip`

### macOS

By default macOS doesn't allow running app files downloaded from the Internet

and it will display a "file is damaged" error.

To fix it:

1. Extract the app from the ZIP archive.

2. Open a terminal in the directory with the extracted app.

3. Run the following command: `xattr -cr 'Mbaza AI.app'`.

## Links

* [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

If you are seeking to get involved in the development of Mbaza,

take a look at our [contributing guidelines](CONTRIBUTING.md).

There you'll find useful technical information about

app architecture, ML models, `npm` commands, release process, and more.

## License

AGPLv3