How Subnet 44 is Redefining Computer Vision Without Human Labels
Most AI models today depend on human-labeled datasets for training and validation. But this approach is costly, slow to scale, and prone to inconsistency. For fields like sports analytics, robotics, and medical imaging, the reliance on labels has become a critical bottleneck. Score has taken a different path, developing a generalized validation framework that removes…