Improving OCR on Low-Quality Documents with AuraSR-v2 and MiniCPM-V 2.6

Welcome, fellow learners! In this video, we'll explore how to combine two newly released open-source models to achieve better OCR results on low-quality scanned documents. The first model, AuraSR, is a GAN-based super-resolution model that enhances the quality of scanned document images. The second model is MiniCPM-V 2.6, a recently released multimodal LLM, which we'll use to extract text from the upscaled document images.

Notebook - https://colab.research.google.com/drive/11_0W59kZBoSf7aSeB_tc-SAX06kMu-xX?usp=sharing

MiniCPM-V 2.6 - https://huggingface.co/openbmb/MiniCPM-V-2_6
AuraSR-v2 - https://huggingface.co/fal/AuraSR-v2
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Видео Improving OCR on Low-Quality Documents with AuraSR-v2 and MiniCPM-V 2.6 канала TheAILearner