BirdNET
mobienetbirds
BirdNET | mobienetbirds | |
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4 | 1 | |
307 | 0 | |
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0.0 | 0.0 | |
about 2 years ago | over 2 years ago | |
Python | JavaScript | |
GNU General Public License v3.0 or later | - |
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BirdNET
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New face in town. Is this a woodpecker?
Are the apps themselves open source? I found some code for BirdNet but it doesn't seem to be the android app part: https://github.com/kahst/BirdNET
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BirdNet – The Easiest Way to Identify Birds by Sound
There is a link to the source code: https://github.com/kahst/BirdNET
I doubt that it will work on a Raspberry, but you can run it elsewhere and just send the audio to it.
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Looking for Guidance on how to utilize another person's model?
So are you thinking that you want to reconstruct something like BirdNET but with a different neural network infrastructure such as the winner of the Kaggle competition? Have you been able to get the BirdNET repo up and running on your machine? https://github.com/kahst/BirdNET
mobienetbirds
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New face in town. Is this a woodpecker?
I re-implemented (v poorly) the Cornell photo id neural net via a very poorly done website: https://hellercommaa.github.io/ (US birds only and only lists scientific names... a lot to do) (source: https://github.com/HellerCommaA/mobienetbirds )
What are some alternatives?
BirdNET-Lite - TFLite version of BirdNET. Bird sound recognition for more than 6,000 species worldwide.
data-science-ipython-notebooks - Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
kaggle-birdsong-recognition - 1st Place solution to the Cornell Birdcall Identification competition.
inaturalist - The Rails app behind iNaturalist.org
punctuator2 - A bidirectional recurrent neural network model with attention mechanism for restoring missing punctuation in unsegmented text
BirdNET-Analyzer - BirdNET analyzer for scientific audio data processing.
earth-hz - User-friendly web framework for sharing and collaborative labeling of bioacoustic data