Identify Dragonfly Species using data mined from Facebook dragonfly SouthAsia Group.
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Updated
Oct 23, 2020 - Jupyter Notebook
Identify Dragonfly Species using data mined from Facebook dragonfly SouthAsia Group.
Image classification pipeline for natural sciences
Estimate the relative abundance of sequence reads originating from different species in a sample using the IRIDA system
Raspir, the rare species identifier
Running inference on images to detect the species of animals and plants with a image-recognition model trained on the iNaturalist 2021 Competition
Running inference on images to detect the species of animals and plants with the Microsoft AI for Earth Species Recognition Model
Fast microbial species identification (16S rRNA gene-based approach) and contamination check using whole genome assemblies
A website that aims to increase awareness of invasive species and the locations they are found. Also distinguishes invasive species from regular animals.
MitoSIS (Mitochondrial Species Identification System) is a wrapper for mitochondrial genome assembly and identification of sample contamination or mislabeling.
R package to give easy access to ALA plant occurrence data
BirdNET as a systemd service with other features.
Species Identification and Prediction by Mass Spectrometry
A snakemake pipeline for tick determination from ONT whole genome sequencing samples.
Tools for manipulating the Wildlife Watcher, a smart camera to monitor animals in the wild.
created to work on with data for the article
banter is a package for creating hierarchical acoustic event classifiers out of multiple call type detectors.
Species identification model for Japanese dragonflies and damselflies
This repository contains code for preprocessing, training, evaluation, and inferencing of two models, SSD and Faster R-CNN, for the task of bird detection and classification. For details about the Flask web application built on this model visit the link below.
DNA barcoding analysis pipeline
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