AMI-system
This organisation hosts the source code of software for deploying, and analysing data from, the Automated Monitoring of Insects (AMI) systems.
The AMI project is a collaboration between a number of different institutions including:
AMBER: Automated Monitoring of Biodiversity using Edge Processing and Remote Sensors
This is a collaboration between the UKCEH and the Alan Turing Institute. The project aims to develop a on device systems for automated identification of insects. More info here. The repositories involved in this project are:
- gbif_download_standalone: A standalone tool to download images from the GBIF database according to a species list.
- species_classifier: Training a deep learning model for insect species classification.
- pi_inferences: standalone scripts to perform inferences on a Raspberry Pi.
- amber-inferences: performs inferences on AMBER data for the JASMIN or Baskerville servers
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species_classifier species_classifier Public
This repository contains the code to create on-device machine learning models for species classification.
Jupyter Notebook 2
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gbif_download_standalone gbif_download_standalone Public
A standalone repo to download images from the GBIF database according to a species list.
Jupyter Notebook 1
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Repositories
- species_classifier Public
This repository contains the code to create on-device machine learning models for species classification.
- gbif_download_standalone Public
A standalone repo to download images from the GBIF database according to a species list.
- ami-data-companion Public Forked from RolnickLab/ami-data-companion
Desktop app for analyzing images from autonomous insect monitoring stations using deep learning models
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