ScoreSN44 Price

Score is building vision AI models that make cameras "intelligent" by processing raw video into structured data on movement, context, and predictions — starting with football (soccer) analysis.

It operates as Bittensor Subnet 44 (SN44), where miners run computer vision models to annotate match footage: detecting players, tracking ball positions, identifying game events, and more using object detection and keypoint analysis on short video clips. Validators assess the accuracy and quality of these annotations against benchmarks or human-level labels to fairly distribute rewards. This decentralized approach makes high-quality video analysis dramatically cheaper (e.g., $10 per game) and faster (e.g., minutes instead of hours) than traditional centralized services.

The system begins in sports for its complex motion dynamics but is designed to expand to robotics, manufacturing, retail, healthcare, security, and other video-heavy fields via Vision AutoML for self-improving models. Public models from Bittensor miners are shared on Hugging Face, with a live console tracking performance gains over time.