Luxury Watch & Jewelry Attribute Tagging
ImageClassification
Annotated a dataset of over 5,000 high-resolution images of luxury timepieces and gemstones. Tasks included identifying specific watch complications (chronographs, moon phase), movement types, and grading gemstone clarity and cut based on visual references. Adhered to a strict 98% accuracy threshold to ensure high-quality training data for an e-commerce recommendation engine.
Annotated a dataset of over 5,000 high-resolution images of luxury timepieces and gemstones. Tasks included identifying specific watch complications (chronographs, moon phase), movement types, and grading gemstone clarity and cut based on visual references. Adhered to a strict 98% accuracy threshold to ensure high-quality training data for an e-commerce recommendation engine.
2026 - 2026