GitHub - mcguirepr89/BirdNET-Pi: A realtime acoustic bird classification system for the Raspberry Pi 4B, 3B+, and 0W2 built on the TFLite version of BirdNET.
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A realtime acoustic bird classification system for the Raspberry Pi 4B, 3B+, and 0W2 built on the TFLite version of BirdNET. - GitHub - mcguirepr89/BirdNET-Pi: A realtime acoustic bird classificati...

Not the most conventional application for self-hosting, but thought it might make for a fun weekend project for someone.

BirdNET-Pi is built off the back of Cornell University’s BirdNET Sound ID neural network model (https://birdnet.cornell.edu/). It can be used to classify what birds are in your vicinity by listening to their calls.

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62Y

This is a very cool idea! What microphone would be well suited for this purpose?

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72Y

There’s a Github discussion post which is all about that topic. Worth checking it out for advice.

https://github.com/mcguirepr89/BirdNET-Pi/discussions/39

Qazwsxedcrfv000
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22Y

It largely depends on the surrounding environment in which you are going to place the device. In my case, I need to use a shotgun due to a highway nearby.

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72Y

Careful with the birds!

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