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PatBall1 committed Sep 12, 2023
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## Getting started

Detectree2, based on the [Detectron2](https://github.com/facebookresearch/detectron2) Mask R-CNN architecture, locates trees in aerial images. It has been designed to delineate trees in challenging dense tropical forests for a range of ecological applications.
Detectree2, based on the [Detectron2](https://github.com/facebookresearch/detectron2) Mask R-CNN architecture, locates
trees in aerial images. It has been designed to delineate trees in challenging dense tropical forests for a range of
ecological applications.

This [tutorial](https://patball1.github.io/detectree2/tutorial.html) takes you through the key steps. [Example Colab notebooks](https://github.com/PatBall1/detectree2/tree/master/notebooks/colab) are also available.
This [tutorial](https://patball1.github.io/detectree2/tutorial.html) takes you through the key steps.
[Example Colab notebooks](https://github.com/PatBall1/detectree2/tree/master/notebooks/colab) are also available but are
not updated frequently so functions and parameters may need to be adjusted to get things working properly.

The standard workflow includes:

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