An enhanced SegGPT model with scribble-based prompting auto-labels display defects, reaching about 60 percent coverage with downstream performance comparable to human labels.
A more reliable defect detection and performance improvement method for panel inspection based on artificial intelligence
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Using In-Context Learning for Automatic Defect Labelling of Display Manufacturing Data
An enhanced SegGPT model with scribble-based prompting auto-labels display defects, reaching about 60 percent coverage with downstream performance comparable to human labels.