I have my russian license plate symbols classification dataset labeled from scratch. While labeling, there was no problem in naming classes with cyrillic letters. Everything is showing correctly in "health check" tab. However, when I try to create a new version, all objects of cyrillic named classes are being implicitly dropped. And when I say implicitly, I mean that actual amount of images in training set is less than amount stated in "training set" tab(4202 actual vs 7102 stated), the same with validation and test. I've tried:
And result (except augmentation) was always the same.
Actual last image of training set
Stated amount of images in the training set
Roboflow has "dropped" all the 23 classes, but images are still there
We ended up dropping non ascii chars. I went ahead and shared this UX with the team as its something that can be addressed in the labeling process