Thanks for providing all these examples. I am seeing what you mention with the species labels displayed on hover over the image annotation- some olive ridley and hawksbill labels appear for the green turtles you have submitted.
These labels are returned from the detection phase of our image analysis pipeline, but a human entered species will always take first priority so your images should match against appropriate candidates since you submitted them as Chelonia mydas. All the matching results I looked at for these images seem to be comparing against an appropriate set.
I personally annotated plenty of the data for the turtle detection models, and the vast majority of the on land images we had to work with were olive ridley and hawksbill turtles, so I am not incredibly surprised at the confusion. The model simply has not been trained on many examples of green turtles on land.
We went through this previously with hawksbills. On land and sand covered images were not behaving reliably, so a body of images was hand annotated and rolled into a retrained model. Tighter annotations, species recognition and viewpoints were produced with the new version.
I was only able to find one image in these encounters with an improper viewpoint, and it is definitely a mistake. I’ve manually corrected it and it should be matchable normally now.