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submitted 15 hours ago* (last edited 4 hours ago) by chaospatterns@lemmy.world to c/selfhosted@lemmy.world

Birdnet-go is a real-time sound analyzer that detects bird species. It can take in audio from microphones. I set mine up to stream audio from my security cameras that I already had installed. There's even a Home Assistant App, if you're using it.

I live in a more suburban/semi-urban environment, but was really surprised to so many different bird species.

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[-] curbstickle_lw@lemmy.world 5 points 5 hours ago* (last edited 4 hours ago)

A quick general awareness comment:

A post about a project not by the original creator is not a promo post. A user will not necessarily know the details to provide a disclosure unless a project explicitly has on in their repo.

Requiring it on a project post like this ("Here's a cool thing I found!") is not doable.

That said, its clearly an AI project start to finish - the detection wouldn't really work without it. So I think [AIT] is appropriate here.

@chaospatterns@lemmy.world can you please add the [AIT] tag?

Edit: Thanks!

[-] molasses6469@lemmy.world 1 points 2 hours ago

Get this AI slop out of here please

[-] fragrantvegetable@sopuli.xyz 2 points 2 hours ago

If you need something on the go I quite enjoy whoBIRD (available from F-Droid). Wonder if these use the same model.

[-] irmadlad@lemmy.world 1 points 1 hour ago

I use both Song Sleuth and Smart Bird ID (iOS). Fairly decent. I wouldn't bet any significant bet on it's accuracy 100% of the time. I'm no birder, but it seems to work well enough for my purposes.

[-] slurp@programming.dev 19 points 10 hours ago

There is also this similar software, which is a little clunky but not slop https://github.com/Nachtzuster/BirdNET-Pi

[-] call_me_xale@lemmy.zip 59 points 14 hours ago

Ditch the AI slop logo, please.

[-] terranoid@lemmy.cafe 36 points 13 hours ago

๐Ÿ”— AI Logo

๐Ÿ”— and probably everything else too

๐Ÿ”— Including the readme

[-] BlackEco@lemmy.blackeco.com 30 points 12 hours ago* (last edited 12 hours ago)

and probably everything else too

*Takes a look at the first three folders*

  • .agents/skills
  • .claude/skills
  • .cursor/rules

Yep...

[-] DisasterTransport@startrek.website 7 points 11 hours ago

The maintainer of the project probably won't see it here, but that repo does appear to be fairly active, they've got thousands of merged PRs. If you contribute a better logo they might replace the AI one.

[-] RobotToaster@mander.xyz 1 points 9 hours ago

It's an AI program specifically to use AI models to recognise birds. If you're against AI you should probably learn to recognise them manually.

[-] Yaky@slrpnk.net 12 points 8 hours ago

"AI" is a pretty bad blanket term. BirdNet / Merlin is a model trained specifically on bird calls (and some noises) built to recognize bird calls. App and logo use huge general-purpose models to create content of questionable quality.

And yes, a decent birder should never trust just Merlin ID.

[-] A_norny_mousse@piefed.zip 6 points 11 hours ago

Let this post be the one to ask a question that's been bothering me (not a coder):

Multi-model local AI inference, runs 24/7 on a Raspberry Pi.

This and similar claims in other software suggest - to me - that the AI is running locally on the raspi, no need to exchange data with sites providing AI APIs or whatever.

I struggle to believe that this is possible, let alone on a raspi.

So, how "local" ar the AIs that help more and more software with various tasks?

Is "local AI" some sort of selling point that is often false or deliberately misleading? "Localwashing"?

[-] pyr0ball@lemmy.dbzer0.com 2 points 2 hours ago

Specialized models can be made incredibly efficient. The big tech guys are trying to replace humans which is why their crap takes such huge servers to run. Building local-first/only just means you need to specialize the model and the pipeline to match what you're doing

[-] chaospatterns@lemmy.world 2 points 4 hours ago

It's a small model that runs on your machine using a TFLite model. AI/ML models come in many different sizes. Some more conducive for running locally than others. There's more info on the detection pipeline here.

I didn't write this, just found and self hosted it.

[-] JTode@lemmy.world 4 points 7 hours ago

Listen, everything that they are doing by scorching the planet and turning the tap water brown, could be achieved on CPU or much smaller GPUs on local machines - it's a question of focused, tight training. What they're doing instead is literally attempting to build gigantic models that take in absolutely everything (burning real books in the process because fuck history we got money to make) and attempting to sell the idea that this brute force, one-thing-does-it-all approach, which requires us to give up everything else that is good in the world, is the only way forward, and yes, we must build the roko basilisk now.

It's a big, big grift.

[-] irmadlad@lemmy.world 1 points 4 hours ago* (last edited 4 hours ago)

Listen, everything that they are doing by scorching the planet and turning the tap water brown, could be achieved on CPU or much smaller GPUs on local machines

Didn't downvote you however, are you saying if I ran an AI model local, that scorching the planet and turning the tap water brown is ok with you, just because it's local?. Because that's exactly what we're are doing when we access the internet. Throw AI out of the scope, and we're still pumping massive amounts of carbon in to the air, still turning the water brown. There are 8.4 billion people on this planet. Approximately 6.3 billion of them are online. That's just individual humans. That doesn't include the hundreds of thousands of data centers that aren't even connected with AI and all the energy production to make them run.

So, who will be the first to actually practice what you preach and shut down your servers and internet devices? C'mon...make the first step towards a cleaner planet.

[-] JTode@lemmy.world 2 points 1 hour ago

This whole internet could run on a tiny fraction of what it current consumes, with no drop in service levels... if the extraction of profit from every single interaction was not prioritized.

That being said, I was addressing someone who refused to believe that local inference was even possible on CPU; this tells me that the efforts to present the current grift as the only and inevitable AI outcome is working, on minds that do not fundamentally grasp what the technology is, nor what it's doing. I think the tech is great, and highly useful - the way they are implementing has perverse incentives and existential outcomes, and it does not have to be that way, but it is, because capitalism.

[-] irmadlad@lemmy.world 1 points 14 minutes ago

This whole internet could run on a tiny fraction of what it current consumes, with no drop in service levels

But it doesn't.

โ€ฆ if the extraction of profit from every single interaction was not prioritized.

But it is.

So, now what are we going to do? Give me real world solutions that will actually fix the issue, which would be implemented by real world corporations and real world data centers. I'm not problem hampered, I'm solution based. So let's fix it.

[-] RobotToaster@mander.xyz 6 points 9 hours ago

It can run on device on your phone https://birdnet.cornell.edu/

[-] agile_squirrel@lemmy.ml 6 points 10 hours ago

I haven't verified it, but it local ML models on audio is pretty efficient and should run fine on a raspberry pi.

[-] irmadlad@lemmy.world 1 points 4 hours ago

If you're speaking of audio analysis ML or AI models, they are quite efficient. As a mediocre musician, who is clinically deaf and cannot hear some frequencies with enough clarity to make a judgement either way, I lean on AI assisted audio mastering. I haven't dabbled in AI generated music, but with the right DAW and a handful of plugins, some keyboards and instruments, you can do a lot right in the comfort of your home.

[-] 9488fcea02a9@sh.itjust.works 21 points 14 hours ago

How does this compare to merlin? I dont currently have any reason to distrust the cornell university department of ornithology.. but if they ever turn evil its good to know there's a backup

[-] ChilledPeppers@lemmy.dbzer0.com 4 points 9 hours ago

It is the same back end, but this one runs continuously on a server instwad of on your phone.

[-] Vandals_handle@lemmy.world 1 points 7 hours ago

I'm afraid Merlin's addition of videos of automatically running when birds are detected is the beginning of enshitification. Phone charge no longer lasts a full field day with this additional drain on battery. Bird of the day, x number of people listening, I don't need of want any of this shit. Also dislike can no longer immediately cancel recording without saving, have to wait while application buffers or something before can exit without saving, for a long recording this can take more than 15 seconds. Pity, app is generally very helpful.

[-] HopeForTheFuture@piefed.zip 1 points 11 hours ago

Yeah, Merlin has been my go-to forever.

[-] mhzawadi@lemmy.horwood.cloud 13 points 14 hours ago* (last edited 14 hours ago)

OMG, birdnet-go is amazing. I had setup birdnet-pi, till an update to either docker or birdnet-pi broke it.

Now using birdnet-go and the stats are insane, this is just the last week

[-] chaospatterns@lemmy.world 4 points 14 hours ago

Nice. What kind of microphone setup do you have? I'm just starting with security cameras because I have those, but the audio quality is ehh.

[-] mhzawadi@lemmy.horwood.cloud 4 points 14 hours ago

Like you, using my security cameras. Riolink seems to have the loudest audio of the 2 I use. The other is a Unifi UVC G3 I had from work

[-] lwe@feddit.org 3 points 14 hours ago

My mom loves this so I build some additional microphones using https://github.com/Sukecz/ESP32-birdnet-mic and by 3d printing some casing for it to keep bugs out.

[-] lokalhorst@feddit.org 7 points 14 hours ago* (last edited 14 hours ago)
[-] Jake_Farm@sopuli.xyz 4 points 14 hours ago

Someone share this with the bird voyeurs.

[-] Vandals_handle@lemmy.world 0 points 7 hours ago

Stated Jake Farm

this post was submitted on 10 Aug 2026
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