Source code of the TUCMI submission to BirdCLEF2017
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Updated
Jul 18, 2017 - Python
Source code of the TUCMI submission to BirdCLEF2017
A linguistic study of generalizations underlying common bird names.
Code for searching the www.xeno-canto.org bird sound database, and training a machine learning model to classify birds according to their sounds.
Basic analysis and data visualizations from Cornell's eBird database
Using topic modelling to classify texts based on bird taxonomic families
QGIS3 plugin helping to store wildlife observations
Source code for BMBF InnoTruck demo of BirdNET.
Birds Species Classifications using Transfer Learning
A sister repository to "swiftwatcher" for testing classification between images of chimney swifts and images of other bird species.
Ever wondered how it feels to never lose at Flappy Bird? This Genetic Algorithm does just that!
Investigating the Effect of Various Greenhouse Gasses on the Population of Different Species of Birds
The aim of our project is to analyze past years' bird strike data with respect to the phase of flight, time of day, pilot warning status, and various other parameters.
Classify bird species based on their songs using SIamese Networks and 1D dilated convolutions.
A bird feeder camera for Raspberry Pi
Fine grained visual recognition tensorflow baseline on CUB, Stanford Cars, Dogs, Aircrafts, and Flower102.
A computer vision program to count and label the birds flying in the sky with unique colours.
An application for tracking the behaviour of migratory chimney swifts in video footage using computer vision
The 2018 LifeCLEF bird identification task baseline system.
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