I have some 25,000 hours of acoustic recordings to process via BirdNET analyzer, most of it in 15 second chunks. I ran an initial ~4,000 hours, which took a few weeks running in the background on my laptop, and I suspect contributed to my laptop dying. It was old and not up to the task, considering the noise the fan was making. I now have a new laptop with a better GPU and CPU, which will hopefully help, but I don't want to burn this one out too!
Has anyone run Birdnet on high volumes of data like this? Any advice?
In graphics settings (I'm on windows 11), should I set my GPU preference to high performance rather than 'let windows decide'?
17 May 2025 10:44am
I haven't tried BirdNET analyzer, but with regards to running any bigdata/ML processing, my advice would be to look at something like Google Colab instead of your own laptop.
Hope this helps.
19 May 2025 12:22am
Would that be able to process locally stored acoustic data?
One of the great things about birdnet analyzer is that it is local - it doesn't require uploading terabytes of data into the cloud, which would be expensive, take forever, and likely have some transfer errors in areas with poor internet connection (like the tropics where I do my research).
Ajay Bhandari