ShareGPT4Omni/ShareGPT4V

[ECCV 2024] ShareGPT4V: Improving Large Multi-modal Models with Better Captions

27
/ 100
Experimental

This project helps people who work with images and want highly detailed, natural language descriptions of what's in them. You input images, and it outputs rich, descriptive captions that rival those written by advanced AI like GPT-4 Vision. It's designed for researchers, data scientists, or content managers who need to understand or label large visual datasets precisely.

251 stars. No commits in the last 6 months.

Use this if you need to automatically generate highly accurate and descriptive captions for a large collection of images or want to improve the performance of your existing large multi-modal models.

Not ideal if you only need simple, short labels for images or are not working with image-text data in a research or data-intensive context.

image-captioning computer-vision large-language-models data-labeling content-analysis
No License Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 10 / 25
Maturity 8 / 25
Community 9 / 25

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Stars

251

Forks

8

Language

Python

License

Last pushed

Jul 01, 2024

Commits (30d)

0

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