Using remote sensing (e.g. aerial imagery) data to count canopy trees in Perth
- Consider pulling from the github repo before making changes (pull button on Git tab)
- Always create a new branch (top right of Git tab) to make edits
- Save edits, select items to commit, and commit with a useful simple comment
- Push the edited branch to the Github repo
- Make a pull request on Github website
- Someone will review and accept the changes, and merge the edited branch into the main branch
Check the issues list for things to do (or add something).
- Paper: VHRTrees: a new benchmark dataset for tree detection in satellite imagery and performance evaluation with YOLO-based models. Dataset/YOLO models weights: (check links in the README).
- Additional Paper Anand Raju; Tree counting and classification of different level of trees using machine learning algorithms.