Ask questions about images to get answers
Generate captions for images
Extract Japanese text from manga images
Translate text in manga bubbles
Generate text by combining an image and a question
Label text in images using selected model and threshold
Browse and search a large dataset of art captions
a tiny vision language model
Identify and translate braille patterns in images
Generate a caption for your image
Find objects in images based on text descriptions
Turns your image into matching sound effects
image captioning, VQA
Florence 2 is an advanced AI model designed for image captioning and visual question answering. It allows users to ask questions about images and receive accurate answers, making it a powerful tool for understanding and interpreting visual content.
• State-of-the-art vision-language modeling: Florence 2 leverages cutting-edge technology to understand images and generate human-like responses.
• Support for multiple question types: Users can ask descriptive, comparative, or explanatory questions about images.
• High accuracy: The model is trained on a vast dataset of images and text, enabling it to provide reliable and relevant answers.
What types of questions can I ask using Florence 2?
You can ask descriptive questions (e.g., "What is in the image?"), comparative questions (e.g., "What is the difference between the two objects?"), or explanatory questions (e.g., "Why is this happening?").
Does Florence 2 support non-English languages?
Florence 2 primarily supports English, but it can process text in other languages to some extent. However, the accuracy may vary depending on the language.
Is Florence 2 free to use?
Florence 2 is available under the MIT License, making it free for both research and commercial use. However, certain applications may require additional licensing depending on the use case.