I have images that contain lots of elements. Some I know, some I don't. I want to know if it's ok to only label those I do know. Let's take this image for example. I would label the green stuff and the worm but leave the rest unlabeled. Is that ok?
Another question I would also like to ask is how concise I should be in labeling. For instance, You can see in the picture a bit of blue behind the green plant. So should I label that bit and say water or leave it unlabeled?
I also want to ask if it's ok to label only the things I'm interested in even if they take up to 30% of the picture? Won't the neural network be confused by all the details in the picture that it perceives and that I label as A for example, even if A is just a part of it?
Another question would be, let's say I have labels A, B and C. I have an image in which I'm a bit confused if a certain object is of label B or A or even a totally different class other than (A,B,C). What should I do in this instance?
I'm having a hard time with the dataset. It would take an expert to label this correctly. But I want to do things as cleanly as possible, so all the effort doesn't go to waste. I would really appreciate your help. Thank you guys.