Data Annotation
Project involves labeling visual content to make it usable for machine learning models. This typically includes tagging objects, drawing bounding boxes, segmenting images, or classifying scenes to help train computer vision systems. The goal of the project is to create accurate, high-quality labeled datasets that enable models to recognize and interpret images effectively.