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[![Downloads](https://static.pepy.tech/badge/bplusplus/week)](https://pepy.tech/project/bplusplus)
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This repo can be used to quickly generate YOLOv8 models for biodiversity monitoring, relying on Ultralytics and a GBIF dataset.
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All code is tested on Windows 10 and Python 3.11, without GPU. GPU would obviously accelerate the below steps, Ultralytics should automatically select the available GPU if there is any.
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# New release
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We have released a new version here: [github.com/Tvenver/Bplusplus/tree/package](https://github.com/Tvenver/Bplusplus/tree/package)
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We also launched a package, which can be installed directly: [https://github.com/Tvenver/Bplusplus/tree/package](https://pypi.org/project/bplusplus/)
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# How does it work?
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To create your own custom CV model:

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