DeepForest
DeepForest is an open-source Python package designed for tree crown detection and analysis in airborne RGB imagery. It leverages deep learning techniques to process high-resolution aerial data, providing tools for ecological research and conservation. The package aims to streamline the extraction of individual tree information from diverse environmental datasets.
DeepForest is a Python package hosted on GitHub, specializing in airborne RGB machine learning. It provides robust tools for tree crown detection and analysis, which are crucial for various ecological and conservation applications. The project is actively maintained, as indicated by its continuous integration, code coverage, and documentation badges.
This open-source software utilizes deep learning to process high-resolution imagery, making it a valuable resource for researchers and practitioners working with aerial data. It supports various Python versions and is available on PyPI, ensuring easy installation and integration into existing workflows. The project also provides a Digital Object Identifier (DOI) for proper academic citation.
Tags:
Disclaimer: We do not guarantee the accuracy of this information. Our documentation of this website on Geospatial Catalog does not represent any association between Geospatial Catalog and this listing. This summary may contain errors or inaccuracies.
Comments (0)
Sign in to leave a comment