@tiwane - can this training and observation entry be modified somewhat? A real challenge for those of us looking at insect data is the lack of life stage information - this applies to other annotations of course, but I will use insect life stage as the example for simplicity.
Only approximately 25% of global Lepidoptera have a life stage annotation (based on a filter from the identify page, so I hope this is correct, but it feels right anecdotally). That may not sound like much, but there are over 2 million global butterfly and moth observations currently. So, in raw numbers, that’s 1.5 million observations without life stage information, and with little likelihood of ever being assigned life stages at this point. Incidentally, the 25% figure is supported a bit by volunteers annotating other people’s observations in projects like Caterpillars of Eastern North America and Moths of Ontario, so it could be 4-5% lower without those efforts. Clearly, the manual system doesn’t work very well, and I expect that this will be a growing problem numerically. From a user perspective, it can be done in bulk on computer entry, but it is a pain to even try it on phones in my experience.
So can you train the CV to recognize an adult monarch separately from a monarch caterpillar, and a monarch pupa? It is very good at identifying larger larvae already in North America. The input screen could then offer a suggestion like “we’re pretty sure that this is a Monarch caterpillar”, and automatically annotate or assign Insect Life Stage Field to the observation. The CV system correctly identifies many larval stage stage insects, so this is likely possible if you can classify the training images properly. This may not work for all species and life stages, but if you could move the life stage percentage from 25% to 60% or 75%, that would be a huge improvement in data quality.
It seems like a far more efficient workflow to enter that data as an observation is created. It must be more efficient than hoping people are going to individually open and annotate 1.5 million+ observation records.