lcysyzxdxc/AGIQA-3k-Database
[IEEE TCSVT2023] A Fine-grained Subjective Perception & Alignment Database for AI Generated Image Quality Assessment
This project helps researchers and developers evaluate the quality of AI-generated images (AGIs). It provides a comprehensive database of AGIs, along with subjective quality scores from human perception and how well the images align with their original text prompts. The end-user is typically someone who designs or works with AI image generation models and needs to benchmark their output against human judgment.
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Use this if you are developing or evaluating text-to-image generative AI models and need a robust dataset of human-rated image quality and prompt alignment to improve your models.
Not ideal if you are a casual user looking for a simple tool to rate individual AI-generated images without needing extensive research data.
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Oct 24, 2023
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curl "https://pt-edge.onrender.com/api/v1/quality/diffusion/lcysyzxdxc/AGIQA-3k-Database"
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