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Image In Words is a generative model designed for scenarios that require generating ultra-detailed text from images. It is particularly suitable for recognition tasks of large language model (LLM) assistants and for leveraging AI recognition and description capabilities in more complex scenarios using GPT-4o. It only supports English and has been trained using approximately 100,000 hours of English data. Image In Words has demonstrated high quality and naturalness in various tests.
Utilize this advanced image recognition technology to generate ultra-detailed descriptions. You can test the tool by following the 'Image In Words' example within the free online image-to-description viewer.
Image In Words is a generative model designed for scenarios that require generating ultra-detailed text from images.
The vision-language model fine-tuned with IIW data shows a notable improvement in description accuracy and coherence, with model performance increasing by 31% compared to previous methods.
IIW data leads to significant improvements in description accuracy and coherence, reduces the generation of fictional content, and enhances visual-language reasoning capabilities.
The framework reduces fictional content in descriptions through rigorous verification techniques, ensuring that descriptions accurately reflect image details without adding non-existent information.
The IIW framework excels in several practical applications, including improving accessibility for visually impaired users, enhancing image search functionalities, and enabling more accurate content review.
Free plan available.
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