Scalable Bounding Box Annotation : Essential for Accurate AI Model Development
In the realm of artificial intelligence (AI) and machine learning, bounding box annotation is a crucial method for training computer vision models. By delineating precise rectangular boundaries around objects in images or videos, this technique equips AI systems with the essential data required for object detection, classification, and analysis across diverse settings.