Image Annotation for Object Detection Model Training
ImageBounding Box
Worked on an image annotation project for training computer vision models used in retail product detection systems. Annotated over 8,000 product images using bounding boxes to identify and classify multiple object categories such as grocery items, packaged goods, and shelf products. Ensured high annotation accuracy by following strict labeling guidelines, maintaining class consistency, and performing quality checks before submission. Collaborated with QA reviewers to correct edge cases and improve dataset precision for model training.
Worked on an image annotation project for training computer vision models used in retail product detection systems. Annotated over 8,000 product images using bounding boxes to identify and classify multiple object categories such as grocery items, packaged goods, and shelf products. Ensured high annotation accuracy by following strict labeling guidelines, maintaining class consistency, and performing quality checks before submission. Collaborated with QA reviewers to correct edge cases and improve dataset precision for model training.
2025 - 2025