I’m working on https://fittingme.ai, a product-page widget for fashion e-commerce.
It answers two questions that are usually handled together inside the fitting room: “How might this look on me?” and “Which size should I order?”
The virtual try-on renders the garment using a shopper’s photograph.
The size recommendation component estimates the users measures, use the brand’s size chart estimated measurements and suggests a size plus a fallback.
That's the one measurement I always need. We support three modes:
- full manual, where the client enters their own measurements;
- semi-automatic, where the client fills out a short form and we estimate measurements from anthropometric statistics;
- full automatic, where the client takes two guided photos in specific poses with their phone, and we derive the measurements using a BMNet-based model
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