Hi Mia, welcome to the iNaturalist forum! Do you have an account on iNaturalist.org yet? If you are adding photos of specimens, you might find it easier to do this using the website interface, because you will be able to batch edit the locations to reflect where they were collected. Using the app it will select the location you are standing (unlikely to be where the collection was made), and the website will make it a lot faster to manually select the correct locations. Quick tutorial on using the web uploader here.
That said, iNaturalist observations should be collections that you collected yourself, rather than digitizing other people’s collections. You can read more about that here. Depending on what your project is, I wonder if you could use the function of the computer vision feature, but not actually upload any observations? (Computer vision also might not be very good at IDing pinned specimens since it’s primarily trained on organisms that were found in situ, usually outdoors.)
As far as how location affects the suggestions by computer vision - the model looks at species globally that appear visually similar to the image, and then commonly observed related species that have been seen nearby are often inserted into the results. Some species suggestions will be both “visually similar” and “seen nearby” at that time of the year. It’s not as robust as looking at temperature or using species range maps, aside from locations of observations of that species that have been submitted to iNaturalist. (There are suggestions for refining that process here, for people interested in that discussion.) One of the iNaturalist staff did a presentation about the how the model works in October 2020. If that didn’t answer your question, please feel free to follow up. : )