Streamline your ecoacoustic analysis with LEAVES, offering advanced tools for large-scale soundscape annotation and visualization. Join researchers and citizen scientists using LEAVES to analyze complex soundscapes faster and more accurately.

BirdNET as a systemd service with other features.

Raspir, the rare species identifier

Fungal Validation and Identification Pipeline

Embedding-based indexing for compact storage, rapid querying, and curation of bacterial pan-genomes

banter is a package for creating hierarchical acoustic event classifiers out of multiple call type detectors.

Naturblick iOS

MitoSIS (Mitochondrial Species Identification System) is a wrapper for mitochondrial genome assembly and identification of sample contamination or mislabeling.

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.

Fast microbial species identification (16S rRNA gene-based approach) and contamination check using whole genome assemblies

Image classification pipeline for natural sciences

Species Identification and Prediction by Mass Spectrometry

A Flask web application for the classification of bird species built using TFServing, Docker and MySQL.

Species identification based on mass spectrometry biomarker clustering

Tools for manipulating the Wildlife Watcher, a smart camera to monitor animals in the wild.

Running inference on images to detect the species of animals and plants with the Microsoft AI for Earth Species Recognition Model

A website that aims to increase awareness of invasive species and the locations they are found. Also distinguishes invasive species from regular animals.

DNA barcoding analysis pipeline

Docker images for the SpeciesNet networks.

Bird-Species-Classifier-526 is an image classification vision-language encoder model fine-tuned from google/siglip2-base-patch16-224