Follow visual instructions in Chinese
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Ask questions about images
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Turn your image and question into answers
finetuned florence2 model on VQA V2 dataset
Chinese LLaVA is a cutting-edge AI model designed to handle Visual Question Answering (VQA) tasks specifically in the Chinese language. It is specialized to process visual inputs and provide context-based responses in Chinese, making it an essential tool for understanding and interpreting visual data in real-world applications.
• Multi-Modal Processing: Handles both visual and textual inputs to provide accurate responses. • Real-Time Responses: Capable of generating answers quickly, ideal for dynamic applications. • Integration-Friendly: Can be seamlessly integrated into various applications for enhanced functionality. • Diverse Knowledge Base: Covers a wide range of topics for comprehensive understanding. • Efficiency and Accuracy: Optimized for performance while maintaining high accuracy. • Privacy-Focused: Designed with privacy considerations for secure data handling. • Improved Understanding: Capable of bi-directional understanding between text and visual content.
1. Does Chinese LLaVA support non-Chinese inputs?
Currently, Chinese LLaVA is optimized for Chinese inputs, but it can process some basic English queries. For optimal results, use Chinese text or images with Chinese context.
2. What is the minimum input required for Chinese LLaVA to work?
Chinese LLaVA requires either an image or a textual prompt in Chinese to generate a response. Both cannot be empty for the model to function effectively.
3. Are there any specific formats or resolutions recommended for images?
While Chinese LLaVA is versatile, JPEG or PNG images with a resolution of 512x512 pixels or higher are recommended for clearer processing.