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deepseek-ai/DeepSeek-OCR
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PaddlePaddle/PaddleOCR-VL
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Nayana - Vision AI for all
Enabling Vision Language Capabilites for Low resource langauges
Initiative by Cognitivelab
Problem Statement
Despite advancements in vision-language AI, a significant number of the world's languages remain underserved, leaving millions without tools to process documents in their native scripts.
Challenges Addressed by Nayana:
- Wide Language Gap: Lack of robust OCR solutions for a large spectrum of languages, particularly low-resource and rare languages.
- Script Complexity: Supporting diverse writing systems, including those with intricate scripts, cursive styles, or mixed-language content.
- Scalability: Need for adaptable models that can handle real-world multilingual document processing at scale.
Nayana is designed to tackle these challenges by fine-tuning cutting-edge OCR models for diverse languages across multiple regions, empowering users to extract actionable insights from their documents regardless of the language or script.
Vision
To democratize access to Vision-Language AI for all communities by empowering a wide range of languages, including low-resource and underrepresented ones, with cutting-edge OCR and document understanding capabilities.
Mission
- Enhance Accessibility: Build tools that enable equitable AI solutions for diverse linguistic groups worldwide.
- Expand Language Coverage: Support a vast range of languages and scripts, breaking barriers for multilingual document processing.
- Foster Collaboration: Provide an open-source platform where developers and researchers can enhance and expand multilingual OCR capabilities.
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Nayana-cognitivelab/NayanaEmbed-BiGemma3-HardNeg-merged-252
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Nayana-cognitivelab/NayanaEmbed-BiGemma3-HardNeg-merged-500
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Nayana-cognitivelab/NayanaEmbed-BiGemma3-HardNeg-merged-1694
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deepseek-ai/DeepSeek-OCR
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PaddlePaddle/PaddleOCR-VL
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Qwen/Qwen3-VL-2B-Instruct
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Qwen/Qwen3-VL-4B-Instruct
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Nayana-cognitivelab/NayanaEmbed-BiGemma3-HardNeg-merged-252
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Nayana-cognitivelab/NayanaEmbed-BiGemma3-HardNeg-merged-1694
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