Image Annotation for Computer Vision AI Models
Worked as a data annotator on large-scale computer vision datasets used to train and evaluate machine learning models. Responsibilities included labeling and annotating images using bounding boxes and polygon tools to identify objects such as vehicles, pedestrians, road signs, and other environmental elements. Followed detailed annotation guidelines to ensure consistency and accuracy across datasets. Performed quality control by reviewing annotations and correcting errors to maintain high data integrity. The project involved processing large volumes of images and maintaining strict accuracy standards while meeting daily productivity targets. The labeled datasets were used to support training and evaluation of AI models for object detection and visual recognition systems