What AI Actually Sees in a Vintage Garment
What AI Actually Sees in a Vintage Garment
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When you upload a photo of a vintage kimono to our classification system, what happens behind the scenes? This article walks through a real example, showing exactly what the AI identifies, where it struggles, and why human oversight remains essential.
The Input
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What the AI Identifies
The AI examines the image and extracts several categories of information:
Visual Elements
- Colors and patterns: The system identifies dominant colors, pattern types (geometric, floral, abstract), and color distribution
- Garment type: Classification of the basic garment category
- Construction details: Visible seams, closures, and structural elements
Contextual Clues
- Era indicators: Design elements that suggest a time period
- Material characteristics: Texture and drape visible in the image
- Condition assessment: Visible wear, damage, or alterations
Where the AI Struggles
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Even sophisticated AI has blind spots:
- Subtle differences between similar textile types
- Dating accuracy without additional context
- Cultural and historical significance
- Authentication of rare pieces
The Human Review Step
This is where your expertise—or your staff's training—becomes critical.
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The Result
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This article is part of our Field Notes series, sharing observations from the intersection of AI and artisan retail.