Q

Q Sit Mini

Developed by zhangzicheng
Q-SiT is an image quality scoring and analysis system based on a large language model, capable of simultaneously performing image quality assessment and analysis tasks.
Downloads 371
Release Time : 3/11/2025

Model Overview

Q-SiT innovatively utilizes a large language model to simultaneously execute image quality scoring and analysis tasks, deeply grasping the intrinsic connection between perception and decision-making in the human visual system, providing a unified solution framework.

Model Features

Unified Scoring and Analysis
Integrates image quality scoring and analysis tasks into a single model, achieving a more efficient evaluation process
Five-level Scoring System
Provides a five-level quality rating from Excellent to Bad, which can be converted to a numerical score of 0-1 or 0-5
Visual Language Understanding
Combines visual feature extraction with the comprehension capabilities of large language models for more accurate image quality analysis

Model Capabilities

Image Quality Scoring
Image Quality Analysis
Visual Language Understanding
Image Feature Analysis

Use Cases

Image Quality Assessment
Photography Quality Assessment
Evaluates quality metrics such as clarity and noise in photographic works
Provides a five-level rating and detailed quality analysis
Surveillance Video Quality Detection
Detects image quality of key frames in surveillance videos
Identifies quality issues such as blur and low lighting
Image Processing
Image Enhancement Effect Evaluation
Assesses quality changes before and after image enhancement algorithm processing
Provides quantitative scoring and quality improvement analysis
Featured Recommended AI Models
AIbase
Empowering the Future, Your AI Solution Knowledge Base
© 2025AIbase