Florence 2 VLM Doc VQA
A specialized version for Visual Question Answering (VQA) fine-tuned based on microsoft/Florence-2-base-ft, capable of interpreting image content and answering related questions
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Release Time : 10/26/2024
Model Overview
This model is optimized specifically for visual question answering tasks, capable of understanding image content and generating natural language responses related to visual information
Model Features
Visual Question Answering Capability
Capable of understanding image content and answering related questions
Optimized Based on Florence-2
Specially fine-tuned for visual question answering tasks on the base model
English Support
Focused on English visual question answering tasks
Model Capabilities
Image Content Understanding
Visual Question Answering
Image-to-Text
Use Cases
Education
Educational Aid Tool
Helps students understand image content in textbooks
Provides accurate image-related question answering
Accessibility Services
Visual Assistance
Describes image content for visually impaired individuals
Generates accurate image descriptions and answers related questions
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