Large-Scale Image Annotation for Computer Vision
ImageSegmentation
I led and contributed to a large-scale image annotation project supporting computer vision models for product recognition in the retail industry. Tasks included drawing precise bounding boxes and performing pixel-level segmentation for diverse product categories. The project involved labeling over 250,000 images, ensuring consistency across multiple annotators through detailed guidelines and quality assurance checks. I implemented double-review workflows and used inter-annotator agreement metrics to maintain accuracy above 95%. My role also included training new annotators, optimizing workflows, and collaborating with ML engineers to refine label taxonomies.
I led and contributed to a large-scale image annotation project supporting computer vision models for product recognition in the retail industry. Tasks included drawing precise bounding boxes and performing pixel-level segmentation for diverse product categories. The project involved labeling over 250,000 images, ensuring consistency across multiple annotators through detailed guidelines and quality assurance checks. I implemented double-review workflows and used inter-annotator agreement metrics to maintain accuracy above 95%. My role also included training new annotators, optimizing workflows, and collaborating with ML engineers to refine label taxonomies.
2021 - Present