Video and Image Analytics for Multiple Environments
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Updated
Feb 24, 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 42 kinds of animals, training custom models, and estimating distance from camera trap videos
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.
Plant phenology models in python with a scikit-learn inspired API
Circuitscape uses electronic circuit theory to solve problems in landscape ecology.
Daily geospatial links curated by Raf Roset
Iterative Next Boundary Detection for Instance Segmentation of Tree Rings in Microscopy Images of Shrub Cross Sections
🐟🔍 Detect fish in images and video
Restor's ML pipeline for tree crown mapping in aerial images
A Python Package for Adaptive Spatio-Temporal Exploratory Model (AdaSTEM)
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
An online toolset to manage and analyze data collected from insect camera traps for research and conservation efforts.
A phenotyping pipeline for Python
Enabling Geospatial Predictions from Individual Drone Images
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