Beyond Image Preferences - Rich Human Feedback for Text-to-Image Generation
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Jason Corkill
jasoncorkill
AI & ML interests
Human data annotation
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Image Search with Text Prompt
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We uploaded huge human annotated preference dataset for image generation. Instead of just having people choose which model they preferer, we annotated an alignment score on a word by word basis for the prompt. rate the images on coherence, overall alignment and style preference. Those images that score badly were also given to annotators to highlight problem areas. Check it out!
Rapidata/text-2-image-Rich-Human-Feedback
We also wrote a blog post for those who want a bit more detail:
https://huggingface.co/blog/RapidataAI/beyond-image-preferences
We also wrote a blog post for those who want a bit more detail:
https://huggingface.co/blog/RapidataAI/beyond-image-preferences
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1577
We had a few people asking about the differences and methodologies of our addition to the open-image-preferences dataset. So my colleague and I wrote a blog post about it with the new huggingface blog functionality: https://huggingface.co/blog/RapidataAI/more-image-preferences
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