NeonTreeEvaluation

Tree detection benchmark

A dataset and tools for evaluating tree detection algorithms on multisensor aerial imagery

Benchmark dataset for tree detection for airborne RGB, Hyperspectral and LIDAR imagery

GitHub

133 stars
6 watching
23 forks
Language: Python
last commit: almost 3 years ago
Linked from 1 awesome list


Backlinks from these awesome lists:

Related projects:

Repository Description Stars
weecology/deeptreeattention An implementation of a deep learning model for tree species classification from hyperspectral images 118
weecology/deepforest A Python package for training and predicting ecological objects in airborne imagery using deep learning object detection networks. 519
martibosch/detectree A Pythonic library for semantic tree segmentation in aerial imagery 239
apburt/treeseg Extracts individual trees from high-density lidar point clouds using machine learning and computer vision techniques 214
patball1/detectree2 Automates tree crown delineation from aerial RGB and multispectral imagery using Mask R-CNN. 162
shmh40/detectreergb A repository containing scripts and notebooks to analyze tree crown delineation from RGB imagery and LiDAR data, including methods for analyzing mortality rates and carbon stocks. 35
yulab-smu/ggtree A tool for visualizing and annotating phylogenetic trees with associated data 840
mneveroff/wee-forest An interactive map and data visualization platform for exploring tree cover in the UK using geospatial data and mapping libraries. 8
joelrorseth/tree-trouble An interactive tutorial on Binary Search Trees designed for the Swift Playgrounds application on iPads 24
awf-gaug/treecrowndelineation Automated tree crown delineation from remote sensing images using neural networks. 88
rtanno21609/adaptiveneuraltrees An implementation of Adaptive Neural Trees in PyTorch for deep learning 151
andrew-plowright/foresttools A collection of R functions for analyzing and processing remote sensing forest data to detect and segment individual trees. 69
philwilkes/forestlas Tools and methods for analyzing airborne LiDAR data to quantify forest vertical structure 20
nycto/rbtreenim A library implementing a balanced binary search tree data structure with customizable key extraction and comparison functions. 23
bloodaxe/segmentation-networks-benchmark A comprehensive benchmark framework for evaluating the performance of various segmentation network architectures on diverse datasets. 36