1. https://www.inaturalist.org/vision_language_demo
   iNaturalist has teamed up with researchers at University of Massachusetts Amherst, University of Edinburgh, University College London, MIT, and with generous support from Microsoft AI for Good Lab to better understand the potential for Vision Language Models to help organize, explore, and explain iNaturalist observations.

   This demo tool lets you type a search phrase (such as "a bird eating fruit"), and compares it with 10 million iNaturalist photos. Results are ordered from most to least relevant. You can use this demo as a new way to find interesting iNaturalist observations to annotate or add to your project.

   You can also use this demo to help us evaluate the Vision Language model powering this demo by telling us which of the returned images was relevant to your search phrase. This demo is using a third-party Vision Language CLIP model that was not trained on iNaturalist data or by the iNaturalist team. Sometimes the tool may produce inaccurate, biased, or offensive results. Read more on the iNaturalist Blog.

3. https://www.inaturalist.org/blog/95911
   Search iNaturalist Photos With Text
   We are excited to announce the launch of our Vision Language Demo, developed in collaboration with our long-time partners at the University of Massachusetts Amherst, the University of Edinburgh, the University College London and MIT, with generous support from Microsoft AI for Earth. This demo enables you to search a snapshot of 10 million iNaturalist photos using text queries. For instance, typing in "a bird eating fruit" will return matching photos ranked by their relevance to your query.

   Unlike the iNaturalist Computer Vision Model and Geomodel which we train ourselves off of iNaturalist observations, we did not train this model nor is it trained on iNaturalist data. This demo is built off a freely available Vision Language Model that was trained on millions of captioned images not necessarily relating to the natural world. This means that it knows about other things in addition to living organisms (e.g. "a bird perched on a car") but it also means that it currently has biases and may return inappropriate or offensive results that we don’t fully understand. Please keep that in mind when using it.

   You can help us and our research collaborators understand how this model (or other Vision Language Models models we may explore or build) perform by clicking on the “Help us Improve” button. By marking the photos on the page that are relevant or not relevant to your search (e.g. "Mating dragonflies") and clicking submit we will be able to compare the performance of different Vision Language Models at this image retrieval task.
   https://www.inaturalist.org/blog/95911
   https://static.inaturalist.org/wiki_page_attachments/3853-original.png

5. https://www.inaturalist.org/pages/computer_vision_demo

A local biodiversity project named biodiversity of Kos and my goal is to reach more local people to work on this project but also getting a more complete view of the island biodiversity ,and this is a project never done before so I hope that in few years we and the whole scientific world of i-nat will have a better view of Koan wild flora and fauna
researchgate https://www.researchgate.net/profile/Antonios-Avrithis
website
http://biodiversityofkos.gr/

https://www.inaturalist.org/observations?place_id=163583

https://observation.org/locations/32958/species/

https://www.inaturalist.org/projects/biodiversity-of-kos?tab=about&test=apiv2

https://www.facebook.com/groups/323700618350178/