In today’s data-centric world, training robust OCR models doesn’t stop at scanning text — it goes deeper into building BYOCR datasets (Bring Your Own Character Recognition). These datasets allow businesses and researchers to tailor optical character recognition systems for unique document layouts, handwriting styles, and complex video-based text scenarios.
But one technique is starting to redefine how OCR systems are trained: video annotation.