tree-detection

Tree detection from aerial imagery in Python

Instance segmentation of individual tree crowns in Mediterranean Dehesa ecosystems using YOLOv11

Code for "An end-to-end deep learning solution for automated LiDAR tree detection in the urban environment", Rice et al. 2025

TLNet: a deep learning framework for tree detection in forest point clouds using multi-layered forest structure

Detect and map individual tree trunks from LiDAR point clouds

Detection of trees from aerial image using detectron2

Fine-tuning of the DeepForest model for tree detection in aerial imagery

AI-powered Smart Tree Recommendation and Identification System with Image Recognition, Tree Search, Interactive Dashboard, and Intelligent Chatbot.

Tree crown detection & canopy area estimation from aerial/satellite imagery. DeepForest + SAM2 pipeline with confidence scoring, sum-vs-union area math, and honest uncertainty reporting. Built for a Flora Carbon weekend challenge.

Tree-crown detection and canopy-area estimation from high-resolution forest imagery — counts trees, brackets canopy cover, and keeps its assumptions and failure cases visible

A ConvNeXt based U-net model trained to detect individual trees and clusters of trees in satellite images.