Wunderkind & Bios
Hey Bios, I’ve been building a neural net that can spot rare species from drone footage—like a super‑powered field guide that never sleeps. Want to see if it can detect a wetland critter for you?
That sounds fascinating, what species are you focusing on? I'd love to test it on some of the amphibians I’ve been cataloguing. Just make sure the training set has plenty of wetland footage in different lighting so the model can learn the subtle patterns of those elusive critters.
Awesome, let’s dive into frogs, toads, and salamanders—those guys are perfect for the wetland challenge. I’ll feed the model a ton of rain‑soaked, sun‑beamed, twilight footage so it learns every splash pattern and hidden color shift. Once it’s humming, we’ll hit your catalog and see if it can spot a new species or just a new way to describe the same one. Ready to upload the dataset?
Sounds like a solid plan—just remember to keep the metadata clean, noting time of day, humidity, and any observer notes. I’ll pre‑label a few of the video clips with my own annotations so the model has a baseline to compare against. Let’s get those files running and see if we can catch a glimpse of a cryptic salamander or a new variant of the common toad. Ready when you are.
Nice, I’ll start pulling the data pipeline up. Can you zip the clips and drop them in the shared drive? Also toss in a quick spreadsheet with the time, humidity, and your notes so I can align the labels. I’ll get the model warmed up, then we’ll see if it spots a sneaky salamander or flags a toad with a funky pattern. Let's do this!