Data Annotation Infrastructure: Building a Scalable Pipeline with CVAT and B2 Object Storage

Every computer vision model is a reflection of the data it was trained on. The precision of the labels, the consistency across annotators, the coverage of edge cases. Get the data right and the model performs. Get it wrong and no amount of architecture or compute will compensate. AI-assisted annotation tools have made it possible to label at a speed and scale that was unthinkable a few years ago. Teams that used to spend weeks on manual labeling now generate annotations automatically and refine them.