Stars
Techniques for deep learning with satellite & aerial imagery
Aerial-trained deep learning networks for surveying cetaceans from satellite imagery
R package containing tools for studying tuktu (caribou) spatial patterns
An introduction to analysing standardised camera trap data from the WildCAM network.
Professional data validation for the R environment
Simplify camera trap image analysis with ML species recognition models based around the MegaDetector model
Everything I know about machine learning and camera traps.
Automatically detect, count, and classify animals in camera trap images.
RStudio add-in to make plots interactively with ggplot2
👻 Utilities for analyzing Bayesian models and posterior distributions
Comprehensive list of color palettes available in R ❤️🧡💛💚💙💜
Code to make 3d maps of camera trap arrays.
course materials for BIOL 548O Dealing with Data
Fit models to data from unmarked animals using Stan. Uses a similar interface to the R package 'unmarked', while providing the advantages of Bayesian inference and allowing estimation of random eff…
A tool to rename images and extract timelapse files.
Classify camera trap images using machine learning with R Shiny Apps
PyTorch Wildlife: a Collaborative Deep Learning Framework for Conservation.
An R package for searching & retrieving data from the B.C. Data Catalogue
A curated list of deep learning papers in ecology.
Machine Learning for Wildlife Image Classification