Machine learning is an essential component of artificial intelligence. Whether it’s powering recommendation engines, fraud detection systems, self-driving cars, generative AI, or any of the countless ...
Standard RAG pipelines treat documents as flat strings of text. They use "fixed-size chunking" (cutting a document every 500 characters). This works for prose, but it destroys the logic of technical ...
Chinese AI startup DeepSeek on Tuesday released a research paper and open-sourced its latest optical character recognition (OCR) model, DeepSeek-OCR 2, aiming to improve how machines interpret and ...
Abstract: Optical Character Acknowledgment (OCR) stands as a transformative innovation at the crossing point of computer vision and machine learning, encouraging the extraction of printed data from ...
DeepSeek’s announced OCR (Optical Character Recognition) model compresses text-heavy data into images and reduces vision tokens per image by up to 20x while retaining 97% accuracy (10x compression) or ...
Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Cory Benfield discusses the evolution of ...
DeepSeek has unveiled DeepSeek-OCR: Contexts Optical Compression, an open-source model developed by its DeepSeek-AI research team. The new system introduces a visual-based method to compress long text ...
Some days, Mollie McGuire wondered if her then 7-year-old son was dying. The wide-eyed boy, who once raced off to school, came home from class and hid in his room. He barely spoke to his parents. For ...
Thinking about learning Python? It’s a pretty popular language these days, and for good reason. It’s not super complicated, which is nice if you’re just starting out. We’ve put together a guide that ...
python-OCR-date/ ├── 📂 core/ # 核心功能模块 │ ├── 🔧 ocr_engine.py # OCR引擎管理 │ ├── 🔧 paddleocr_engine.py # PaddleOCR引擎 │ ├── 🔧 date_recognizer.py # 日期识别器 │ ├── 🔧 image_processor.py ...
This request was rejected before here (#1523) because preprocessing the image is not useful for OCR accuracy anymore. I agree with this. However preprocessing can still be beneficial for image ...