Identify the most relevant image for a given text
Describe images using text
Generate captions for images
Generate captions for images
UniChart finetuned on the ChartQA dataset
Interact with images using text prompts
Generate a caption for your image
Play with all the pix2struct variants in this d
Make Prompt for your image
Generate image captions with different models
Generate image captions from images
Label text in images using selected model and threshold
Answer questions about images by chatting
DL Image Text Disambiguity is a cutting-edge AI tool designed to identify the most relevant image for a given text. It specializes in resolving ambiguity between text and image pairs, ensuring that the chosen image best represents the context and meaning of the provided text. This tool is particularly useful in applications where image-text alignment is crucial, such as content moderation, advertising, and multimedia content creation.
What types of applications is DL Image Text Disambiguity best suited for?
DL Image Text Disambiguity is ideal for applications like content moderation, advertising, e-commerce product matching, and multimedia content creation, where accurate image-text alignment is critical.
Can the tool handle multiple images at once?
Yes, the tool supports multiple image inputs and can evaluate all of them to determine the most relevant match for the given text.
How does the tool ensure transparency in its results?
The tool provides detailed explanations for its choices, helping users understand why a particular image was selected as the most relevant.