Recommendations on improving the AI algorithm?

[upupa-epops]

@someplant

Which brings us to the issue of CV model: because of the number of observations, only two species (C. moniliferum and C. acerosum) are included in the model. These are probably two of the most common species, but if you find a Closterium on your microscope slide, there’s very good chance it won’t be one of those two species.

@zoology123

@someplant The case you bring up Closterium is a more difficult one with the current system configuration in place. Assuming it doesnt change. The best thing to do is to get any other species of the genus or similar genera in the CV. In a way purposely confuse the CV by teaching it there are many other similar species.

I will preface, ideally the CV wouldn’t be allowed to reccomend such difficult to ID species. Since it is far more likely to just incorrectly suggest species a vast majority of the time. But we are only users and dont have the power to change how it works.

Yeah this is a really common issue that causes a lot of the frustration with the CV from the identifier side, with any taxa with obscure difficult-to-ID species. Some comments on it here: Computer Vision should take into account fraction identified to species