BirdNET
kaggle-birdsong-recognition
BirdNET | kaggle-birdsong-recognition | |
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4 | 2 | |
307 | 147 | |
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0.0 | 0.0 | |
about 2 years ago | over 3 years ago | |
Python | Python | |
GNU General Public License v3.0 or later | MIT License |
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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
kaggle-birdsong-recognition
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Micro Average F1 Score
I've rewritten my post from a kaggle notebook created for the competition: Cornell Bird Detection.
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Looking for Guidance on how to utilize another person's model?
I want to make a copy cat of BirdNET. It's such an amazing project, and would be a perfect way for me to practice my newly acquired python skills/practice some web dev. Fortunately everythingI need is open source! Here is the winning training program (Cornell originally fielded Kagglers to find a solution!) So it seems like all the pieces are there for me to start deconstructing this project, but I keep hitting walls. It's taken me almost 3 weeks of trying to get the kaggle competition training repo to somewhat work on my laptop but I've encountered another error...I've found the model they ended up going with but have no idea how to actually run the program. I basically feel like I have all my materials but have no idea how to use the drill.
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.
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
mobienetbirds