Hey.
My goal is to detect manufacturers on images. Most of time they are presented by logo + text label name and less often only by one of these. Most of them I can detect them with ocr as they often have good readable (for ocr) manufacturer names but from time to time I meet text labels having curly letters.
So the question is exactly about the latter case.
If I have a logo and a text label with curly letters should I add to dataset only logos or logos+label names?
I ask this question because I assume that logos+names have more size but probably it may be hard for network to distinguish words while only logos are more different from each other but small in size.
For example I have the following item.
Which labeling method is better in relation to network detection stability?


only logo
900385190_2 (copy 1)1000×1000 155 KB


logo + manufacturer name
900385190_21000×1000 156 KB


Which case is more valid?