Image classification pipeline for natural sciences
-
Updated
Jun 25, 2024 - Python
Image classification pipeline for natural sciences
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
MitoSIS (Mitochondrial Species Identification System) is a wrapper for mitochondrial genome assembly and identification of sample contamination or mislabeling.
A snakemake pipeline for tick determination from ONT whole genome sequencing samples.
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
Species identification model for Japanese dragonflies and damselflies
A Flask web application for the classification of bird species built using TFServing, Docker and MySQL.
Parser of BLAST results
Fungal Identification Pipeline
Image-based plant identification at global scale.
Add a description, image, and links to the species-identification topic page so that developers can more easily learn about it.
To associate your repository with the species-identification topic, visit your repo's landing page and select "manage topics."