All the camera trap datasets use their own category names… have they been mapped to a common taxonomy?
Yes! This .csv file defines a mapping from every category in every camera trap dataset on LILA to the iNaturalist taxonomy. The goal is to let users train classifiers that span datasets, e.g. to be able to find all the images of bears, or all the images of green herons, or all the images of reptiles, etc.
There is necessarily some information lost in this mapping, so this isn’t intended to replace the original categories. For example, some datasets use a category called “bird of prey”, which must have been scientifically meaningful to whoever created the dataset, and defines a group of birds with clear visual similarities, but does not map to a single taxonomic subtree, so this is just mapped to “birds”.
Code to create and explore this .csv file is here.
A visual preview of all the mappings is available here. That page doesn’t show actual images from LILA, it just shows the result of a Google Images query for the scientific name to which each token is mapped. So the row that says “Channel Islands Camera Traps: fox” should show a bunch of foxes. If it shows a bunch of fish, something is wrong. If you see anything suspicious, email us!