GOT-OCR2.0, a new #AI-powered #OCR model, offers several key improvements over traditional systems:
📄 End-to-End Architecture: Simplifies the OCR process, reducing maintenance costs. #efficiency
🧮 Multi-Task Support: Handles scene text, document OCR, and formatted text (Markdown, LaTeX) including formulas, tables, charts, and musical notation. #versatility
🔍 Fine-Grained OCR: Enables precise region-level recognition via user-defined coordinates or color cues. #precision
🖼️ High-Resolution & Multi-Page Support: Processes ultra-high-resolution images and multi-page documents efficiently. #scalability
💰 Low-Cost Training: Uses ~580M parameters, making it suitable for consumer-grade GPUs. #cost-effective
🌐 Multi-Language Support: Primarily supports Chinese and English, with potential for expansion via fine-tuning. #multilingual
https://kcgod.com/GOT-OCR2.0