PyTorch Wildlife: a Collaborative Deep Learning Framework for Conservation.
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Updated
Nov 18, 2024 - Jupyter Notebook
PyTorch Wildlife: a Collaborative Deep Learning Framework for Conservation.
The first-ever paper on the Unix shell written by Ken Thompson in 1976 scanned, transcribed, and redistributed with permission
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Tools for detecting wildlife in aerial images using active learning
Everything I know about machine learning and camera traps.
Systematic conservation prioritization in R
Simplify camera trap image analysis with ML species recognition models based around the MegaDetector model
A Python package for identifying 42 kinds of animals, training custom models, and estimating distance from camera trap videos
MegaDetector is an AI model that helps conservation folks spend less time doing boring things with camera trap images.
trends.earth - measure land change
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Wild Me's first product, Wildbook supports researchers by allowing collaboration across the globe and automation of photo ID matching
To gain access, please finish setting up this repository now at: https://repos.opensource.microsoft.com/microsoft/wizard?existingreponame=SpeciesClassification&existingrepoid=169153301
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Add a description, image, and links to the conservation topic page so that developers can more easily learn about it.
To associate your repository with the conservation topic, visit your repo's landing page and select "manage topics."