AI Image Annotation & Quality Validation Project
Image
Bounding BoxWorked on large-scale image annotation and quality assurance tasks for AI training datasets focused on computer vision applications. Responsibilities included object detection annotation, image classification, bounding box labeling, and validation of labeled datasets to ensure consistency and accuracy. Used detailed labeling guidelines to maintain high-quality annotations across diverse image categories while identifying edge cases and correcting inconsistencies. Collaborated in a remote workflow environment with emphasis on precision, turnaround time, and dataset integrity. Contributed to improving AI model performance by delivering clean, structured, and accurately labeled training data suitable for machine learning and deep learning pipelines.