A new Computer Vision Model (v2.2) including 1,603 new taxa

We released a new computer vision model today. It has 72,511 taxa up from 71,286. This new model (v2.2) was trained on data exported last month on February 19th and added 1,603 new taxa.

Taxa differences to previous model

The charts below summarize these 1,465 new taxa using the same groupings we described in past release posts.

By category, most of these new taxa were insects and plants

Here are species level examples of new species added for each category:

• Animalia
• Mollusca
• Fungi
• Plantae
• Protozoa
• Arachnida
• Chromista
• Aves
• Reptilia
• Actinopterygii
• Mammalia
• Insecta
• Amphibia

Click on the links to see these taxa in the Explore page to see these samples rendered as species lists. Remember, to see if a particular species is included in the currently live computer vision model, you can look at the “About” section of its taxon page.

We couldn't do it without you

Thank you to everyone in the iNaturalist community who makes this work possible! Sometimes the computer vision suggestions feel like magic, but it’s truly not possible without people. None of this would work without the millions of people who have shared their observations and the knowledgeable experts who have added identifications.

In addition to adding observations and identifications, here are other ways you can help:

• Share your Machine Learning knowledge: iNaturalist’s computer vision features wouldn’t be possible without learning from many colleagues in the machine learning community. If you have machine learning expertise, these are two great ways to help:
• Participate in the annual iNaturalist challenges: Our collaborators Grant Van Horn and Oisin Mac Aodha continue to run machine learning challenges with iNaturalist data as part of the annual Computer Vision and Pattern Recognition conference. By participating you can help us all learn new techniques for improving these models.
• Start building your own model with the iNaturalist data now: If you can’t wait for the next CVPR conference, thanks to the Amazon Open Data Program you can start downloading iNaturalist data to train your own models now. Please share with us what you’ve learned by contributing to iNaturalist on Github.
• Donate to iNaturalist: For the rest of us, you can help by donating! Your donations help offset the substantial staff and infrastructure costs associated with training, evaluating, and deploying model updates. Thank you for your support!

Publicado el 30 de marzo de 2023 por loarie