Open WilburZjh opened 3 years ago
Here is an example of cancer cell detection done using YOLOv3-tiny. So definitely doable. https://www.ccoderun.ca/programming/ml/cancer_cells.html
Hi @stephanecharette , thanks for the response, I have checked this tiny model. Sorry for closing the problem by mistake. My question is how to train a model which an object's class is not a "definitely type A" but a "60% type A"? I did not see a similar solution in this tiny model.
Is there any other demo you have met before based on my situation?
Best
Does that happen often? If so, then you'd need another class, which could be called "looks_like_A_or_B".
Yeah, some of the cells are hard to be labeled even for the experts. Therefore, they recorded some labels as "60% confidence for type A, 90% confidence for type B, 70% confidence for type C". That's the reason why I want to ask this question.
If they're 90% sure, I'd mark it as such. But if the % is about equal and you have enough of those that you can use to train, then I'd create a class called "uncertain" or "to-be-reviewed", or whatever is appropriate.
If this only shows up in a few images (not enough to train) then I'd take those images out of the training.
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