E-Commerce Product Image Annotation for AI Recommendation Systems
Image
Bounding BoxParticipated in a large-scale image annotation project focused on training AI-powered product recognition and recommendation systems for e-commerce platforms. Annotated and validated over 90,000+ product images across categories such as clothing, electronics, footwear, and accessories. Performed image classification, bounding box annotation, and semantic segmentation to identify products, product features, and background elements. Maintained high annotation consistency across varying image qualities, lighting conditions, and complex product arrangements. Applied strict quality assurance procedures and annotation guidelines, achieving 98%+ accuracy while meeting high-volume delivery deadlines. Collaborated with project teams to improve dataset organization and optimize annotation workflows, contributing to more accurate AI product recommendations and search results.