The vision of a new machine

The author discusses the challenges and methodologies involved in developing a system for extracting text from a vast corpus of approximately 75,000 images. Through a personal exploration of various OCR models, the post highlights the inadequacy of standard benchmarks and the necessity of subjective human judgment in determining the quality of text extraction. The discussion emphasizes that building an effective image processing system involves not just selecting the best model but understanding the context and constraints that shape the decision-making process. The insights aim to advocate for a balance between human intelligence and machine capabilities in achieving meaningful outcomes in text recognition.