The success of any computer vision model hinges on the quality of its training data. High-quality, accurately labeled images are the foundational asset for building reliable artificial intelligence systems, from autonomous vehicles navigating complex environments to medical algorithms detecting pathologies in diagnostic scans. Yet, the process of annotating this data is notoriously complex and resource […]