E-Commerce Product Image Annotation for Visual Search Optimization
Annotated over 25,000 fashion and lifestyle product images to train a computer vision model for visual search and automated catalog tagging. Tasks included drawing bounding boxes around products, segmenting overlapping objects, and tagging attributes such as color, texture, sleeve type, and category. Maintained 98%+ annotation accuracy through QA reviews and inter-annotator agreement checks.