Fungal Identification Pipeline
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Updated
Jun 17, 2024 - Python
Fungal Identification Pipeline
Species identification model for Japanese dragonflies and damselflies
Image classification pipeline for natural sciences
banter is a package for creating hierarchical acoustic event classifiers out of multiple call type detectors.
Species Identification and Prediction by Mass Spectrometry
Tools for manipulating the Wildlife Watcher, a smart camera to monitor animals in the wild.
Image-based plant identification at global scale.
Raspir, the rare species identifier
Parser of BLAST results
DNA barcoding analysis pipeline
R package to give easy access to ALA plant occurrence data
A Flask web application for the classification of bird species built using TFServing, Docker and MySQL.
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.
A snakemake pipeline for tick determination from ONT whole genome sequencing samples.
Estimate the relative abundance of sequence reads originating from different species in a sample using the IRIDA system
A website that aims to increase awareness of invasive species and the locations they are found. Also distinguishes invasive species from regular animals.
created to work on with data for the article
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
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