Video and Image Analytics for Multiple Environments
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Updated
Dec 8, 2025 - Python
Video and Image Analytics for Multiple Environments
Simplify camera trap image analysis with AI species recognition models based around the MegaDetector model
A Python package for identifying hundreds of kinds of animals, training custom models, and estimating distance from camera trap videos and images
Earth Observation Data Analysis Library
Open-source interface for processing recreation-grade side scan sonar datasets and reproducibly mapping benthic habitat
A python package for calculating forest structural metrics from airborne point clouds.
Restor's ML pipeline for tree crown mapping in aerial images
Plant phenology models in python with a scikit-learn inspired API
An online toolset to manage and analyze data collected from insect camera traps for research and conservation efforts.
Daily geospatial links curated by Raf Roset
Circuitscape uses electronic circuit theory to solve problems in landscape ecology.
A Python Package for Adaptive Spatio-Temporal Exploratory Model (AdaSTEM)
The ecobio-redemiatech-core repository serves as the foundational codebase for the EcoBio Redemiatech initiative. It includes essential algorithms, genetic engineering protocols, and synthetic biology tools designed for the development and optimization of genetically engineered microorganisms aimed at environmental remediation.
Iterative Next Boundary Detection for Instance Segmentation of Tree Rings in Microscopy Images of Shrub Cross Sections
🐟🔍 Detect fish in images and video
Enabling Geospatial Predictions from Individual Drone Images
Pytorch implementation for "Iterative Human and Automated Identification of Wildlife Images" (Nature -Machine Intelligence, 2021)
Python wrappers for accessing Forest Observatory data via the Salo API
A spatially explicit trait- and individual-based microbial systems modelling framework
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