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I run BirdNET-Go as an app on my Home Assistant i7 M710q. I use the GPU-enabled BirdNET model and Perch V2, and it works swimmingly. Input is three RTSP stream

I run BirdNET-Go as an app on my Home Assistant i7 M710q. I use the GPU-enabled BirdNET model and Perch V2, and it works swimmingly. Input is three RTSP streams from various Reolink PoE cameras around our house, and it is pretty cool to be able to find and listen to the birds/frogs that come.

bradly 26d ago
Have you found a way to identify frogs? I also have a BirdNET (the older -PI, not -Go) setup, but haven't seen a way to get anything other than birds identified.
- oever 26d ago
  The many frogs around my house are identified as black-crowned night heron. I was very excited for a while since that bird is not common where I live.
  - jameshart 26d ago
    OHHHH! That explains it. Had not figured out why that false detection kept coming up.
    - oever 26d ago
      The sound that a frog makes is 'kwak' in Dutch. And that is also the name of this bird which makes a similar sound. Onomatopoeia for the frog predator.
      - nephihaha 25d ago
        Famously "koax koax koax" in classical Greek.
- inventor7777 26d ago
  The full Perch V2 model at https://huggingface.co/tphakala/Perch-v2 https://huggingface.co/tphakala/Perch-v2 can do some frogs and cicadas and such, but it is not very good. It will certainly detect it, whether the species will be right is a whole other question.
detourdog 26d ago
I have a situation with a couple of hundred chimney swifts. I want to set-up cameras to differentiate between individual swifts. Any advice on how to go about this. My current plan is to put multiple cameras at the mouth of the chimney opening which is about 42"x42"(1mx1m). Does this sound realistic to anyone with experience?
- sdenton4 26d ago
  There's a growing literature on individual animal identification from sound! Here's one example: https://github.com/sammlapp/ovenbird-individual-recognition https://github.com/sammlapp/ovenbird-individual-recognition My impression is that the hardest part is knowing whether or not you're actually doing a good job. For vocal learners (like the ovenbird example linked above), it seems to be pretty easy using embeddings from existing models (like perch or birdnet). For non-learning species (possibly including your swifts), you can use timbre clues to differentiate many individuals, but may not be able to really nail down individual identity.
  - detourdog 25d ago
    I guess the first step is to install the cameras and see what I can figure out from there. I never thought about the perching or vocalizations as an identifier. Thank you for bring this up.

bradly 26d ago

Have you found a way to identify frogs? I also have a BirdNET (the older -PI, not -Go) setup, but haven't seen a way to get anything other than birds identified.

oever 26d ago
The many frogs around my house are identified as black-crowned night heron. I was very excited for a while since that bird is not common where I live.
- jameshart 26d ago
  OHHHH! That explains it. Had not figured out why that false detection kept coming up.
  - oever 26d ago
    The sound that a frog makes is 'kwak' in Dutch. And that is also the name of this bird which makes a similar sound. Onomatopoeia for the frog predator.
    - nephihaha 25d ago
      Famously "koax koax koax" in classical Greek.
inventor7777 26d ago
The full Perch V2 model at https://huggingface.co/tphakala/Perch-v2 https://huggingface.co/tphakala/Perch-v2 can do some frogs and cicadas and such, but it is not very good. It will certainly detect it, whether the species will be right is a whole other question.

detourdog 26d ago

I have a situation with a couple of hundred chimney swifts. I want to set-up cameras to differentiate between individual swifts. Any advice on how to go about this. My current plan is to put multiple cameras at the mouth of the chimney opening which is about 42"x42"(1mx1m). Does this sound realistic to anyone with experience?

sdenton4 26d ago
There's a growing literature on individual animal identification from sound! Here's one example: https://github.com/sammlapp/ovenbird-individual-recognition https://github.com/sammlapp/ovenbird-individual-recognition My impression is that the hardest part is knowing whether or not you're actually doing a good job. For vocal learners (like the ovenbird example linked above), it seems to be pretty easy using embeddings from existing models (like perch or birdnet). For non-learning species (possibly including your swifts), you can use timbre clues to differentiate many individuals, but may not be able to really nail down individual identity.
- detourdog 25d ago
  I guess the first step is to install the cameras and see what I can figure out from there. I never thought about the perching or vocalizations as an identifier. Thank you for bring this up.