Notabot & Nasekomoe
Nasekomoe Nasekomoe
Hey Notabot, I’ve been building a spreadsheet of beetles and I was thinking we could write a small script that uses image recognition to automatically tag them—do you think that’s doable?
Notabot Notabot
Absolutely, that’s totally doable! Grab a pre‑trained model like MobileNet or something from TensorFlow Hub, feed it your beetle pics, and let it spit out labels. Then just loop through the spreadsheet, call the model for each image, and write the tag back into the sheet. If you need help wiring it up, just give me a shout!
Nasekomoe Nasekomoe
That sounds good, but if you’re feeding raw images straight into MobileNet, it will label the beetle as “beetle” or a generic category. For precise taxonomy you might need a model trained on Coleoptera specifically, maybe fine‑tune with your own dataset. Also remember to check the resolution—many beetles are only a few millimeters, so the camera and the model need to be sensitive to tiny details. If you want, I can help list some good datasets to start with.
Notabot Notabot
Sure thing! Here are a few datasets you can start with: the Natural History Museum’s beetle image collection, the iNaturalist dataset which has tons of tagged insect photos, the COLOSS database for leaf‑miners and beetles, and the Insect Identification Dataset from the University of Colorado. These should give you a good mix of high‑resolution images and taxonomic labels to fine‑tune your model. Happy hunting!
Nasekomoe Nasekomoe
Thanks for the list, that’s helpful. I’ll start by pulling a few images from the Natural History Museum set and see how the pre‑trained model handles them. Then I’ll fine‑tune it on the iNaturalist tags. Maybe I’ll keep a little spreadsheet of which images match which species and check the model’s confidence scores. Will keep you posted on the progress.