I'm the author of the Birder framework (a computer vision toolkit for bird classification) - https://gitlab.com/birder/birder It's still in early alpha, but you might find it useful for your DSLR workflow.

If you're interested in trying a web-based alternative, I have a demo space at https://huggingface.co/spaces/birder-project/birder-image-cl... where you can upload images directly from your browser. Fair warning though - it's primarily designed to showcase the models rather than provide any kind of user experience, so you'll need to manually select the appropriate regional model (look for suffixes like eu-common, arabian-peninsula, etc. based on where your photos were taken).

The coverage is still very limited... More regions will follow in the coming months.

thanks for linking, I'm very excited for this--it's always saddened me that the public Merlin models are limited to the ones they've released for competitions that are now many years out of date.

my use case is adding tags to my Lightroom library with identified species.

I also use a dslr for my bird pics. When it comes time to id the bird I take a picture of my monitor and feed that to the app. The app doesn’t need my 48MP images to do the job. The screenshot is fine.

Clever. I like it, and will definitely try that. Thanks!

The analog loophole copy/paste :D

I do the same thing, but I only ID photos that I consider good enough to post, once posted they're accessible from my phone (Flickr, IG, et al) so it's no big deal to grab them and insert them into the app.