# Image Quality Assessment

Q-SiT Mini is a lightweight image quality assessment and dialogue model, focusing on image quality analysis and scoring.

DeQA-Score-Mix3 is a no-reference image quality assessment model fine-tuned based on the MAGAer13/mplug-owl2-llama2-7b foundation model, demonstrating excellent performance across multiple datasets.

Co-Instruct is a vision-language model focused on image-to-text generation tasks, capable of analyzing image content and generating relevant textual descriptions or answering questions about images.