Steel product number recognition framework using semantic mask-conditioned diffusion model with limited data
Abstract: Highlights•The problem of recognizing product numbers with limited data is addressed.•Product number image containing user defined characteristics can be generated.•Proposed SMDM generates out-of-distribution samples.•Generated samples diversify the data distribution and improve recognition accuracy.
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