I will do accurate image annotation for computer vision

Looking for an experienced Data Annotation Lead to manage your annotation team and deliver high-quality datasets? You're in the right place! I have extensive experience leading large teams of annotators, ensuring accuracy, consistency, and timely project delivery. I have successfully supervised 100+ annotators and contributed to the completion of 400+ annotation projects while maintaining strict quality standards.

Tools: CVAT, LabelImg, Labelbox, VGG, ImageJ, SuperAnnotate, Supervisely, LabelMe, Roboflow, V7, or your preferred annotation platform.

Data Types: Image annotation and video annotation.

Annotation Types: Bounding boxes, polygons, semantic segmentation, instance segmentation, cuboids, key points (dots), lines, polylines, and more.

Output Formats: YOLO (.txt), Pascal VOC (.xml), COCO (.json), JSON, CSV, segmentation masks, TIFF, and other custom formats.

I am committed to delivering accurate, scalable, and high-quality data annotation services that help train reliable AI and machine learning models