Computer Vision Annotator -Object Detection Dataset
Labeled over 8,500 images for multi-class object detection using bounding boxes and polygon segmentation. Worked on traffic scenes, retail products, and medical imaging datasets using CVAT and Label Studio. Achieved 96%+ inter-annotator agreement through strict quality control and peer review. Developed annotation guidelines that reduced labeling errors by 28%