Stars
BirdNET analyzer for scientific audio data processing.
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
Python package for automatic tree crown delineation based on the Detectron2 implementation of Mask R-CNN
A Python package for segmenting geospatial data with the Segment Anything Model (SAM)
This repository contains the code for the paper "An unexpectedly large count of trees in the western Sahara and Sahel".
Python Package for Airborne RGB machine learning
Techniques for deep learning with satellite & aerial imagery
A set of common color palettes for Google Earth Engine
🌱 Deep Learning for Instance Segmentation of Agricultural Fields - Master thesis
Python 3.X scripts for remote sensing processing
Implementation of Machine Learning and Deep Learning techniques to find insights from the satellite data.
A curated list of awesome Point Cloud Processing Resources, Libraries, Software
R Package for 2D and 3D mapping and data visualization
A collection of 360+ Jupyter Python notebook examples for using Google Earth Engine with interactive mapping
Interactive Tools for Machine Learning, Deep Learning and Math
Evaluation metrics for 2020 competition using NEON remote sensing data
R functions for processing individual tree TLS point clouds
VGG-16 Model to Segment Rooftops from Aerial Imagery
Computer generated building footprints for the United States
An open source library and framework for deep learning on satellite and aerial imagery.
R package for spatial analysis and modelling of ecological systems
Apps for creating Landsat time series animations
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
Code for Methods in Ecology and Evolution paper: "A Convolutional Neural Network for Detecting Sea Turtles in Drone Imagery"
Google Chrome, Firefox, and Thunderbird extension that lets you write email in Markdown and render it before sending.
Airborne LiDAR data manipulation and visualisation for forestry application
Models and examples built with TensorFlow