Image Annotation & Object Detection Project for AI Models
Project Description Worked on large-scale image annotation projects to support computer vision model development. Responsible for labeling objects in images using bounding boxes, semantic segmentation, and classification techniques. Annotated a wide range of image datasets including everyday objects, human activities, and real-world environments to improve object detection and recognition systems. Ensured precise labeling by following detailed annotation guidelines and maintaining consistency across datasets. Performed quality assurance checks to validate annotations and correct inconsistencies, achieving high accuracy standards. Managed high-volume datasets while meeting strict deadlines. Utilized tools such as Labelbox, CVAT, and YOLO-based workflows to efficiently complete annotation tasks.