Nazar H.

I’m a Computer Vision Data Annotator with hands-on experience in CVAT and 120+ hours of professional annotation work. I work with image and video datasets and follow detailed annotation guidelines with a strong focus on accuracy, consistency, and quality control. My experience includes: • Video and image annotation • Object tracking and object detection • Bounding boxes • Polygon and polyline labeling • Data segmentation and classification • Dataset validation and quality control • Guideline compliance and error checking I’m comfortable reviewing visual data frame by frame, working with detailed instructions, and handling ambiguous cases carefully rather than guessing. I can support AI, machine learning, robotics, and computer vision projects that require reliable and consistent annotation. Feel free to send me your guidelines or a sample task — I’m happy to complete a short test before starting.