Beyond Image Preferences - Rich Human Feedback for Text-to-Image Generation
•
12
Jason Corkill
jasoncorkill
AI & ML interests
Human data annotation
Recent Activity
upvoted
an
article
about 21 hours ago
Unlocking Creativity with Text-to-Image Generation: Exploring LoRA Models and Styles [Generative Vision]
upvoted
an
article
about 21 hours ago
Image Search with Text Prompt
upvoted
an
article
about 21 hours ago
OCR Processing and Text in Image Analysis with Florence-2-base and Qwen2-VL-2B
Articles
Organizations
Posts
2
Post
458
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
Post
1570
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
models
None public yet
datasets
None public yet