Computer Vision Image Annotation for Object Detection
Internal Proprietary ToolingImageBounding BoxPolygon
Worked on large-scale computer vision datasets for AI model training and evaluation. Annotated over 25,000 images using bounding boxes, polygon segmentation, semantic segmentation, and keypoint labeling techniques. Labeled objects including vehicles, pedestrians, traffic signs, retail products, and user-generated content across diverse environments.
Followed detailed annotation guidelines to ensure labeling consistency and high inter-annotator agreement. Conducted peer review and quality checks to identify edge cases and correct inconsistencies before dataset submission. Maintained over 98 percent quality accuracy based on internal QA evaluations and consistently met project turnaround deadlines.
Worked on large-scale computer vision datasets for AI model training and evaluation. Annotated over 25,000 images using bounding boxes, polygon segmentation, semantic segmentation, and keypoint labeling techniques. Labeled objects including vehicles, pedestrians, traffic signs, retail products, and user-generated content across diverse environments. Followed detailed annotation guidelines to ensure labeling consistency and high inter-annotator agreement. Conducted peer review and quality checks to identify edge cases and correct inconsistencies before dataset submission. Maintained over 98 percent quality accuracy based on internal QA evaluations and consistently met project turnaround deadlines.
2023 - 2025