Score Launches Detect Football Event on Bittensor Subnet 44
The new SN44 task turns low-resolution youth football footage into an hourly computer vision benchmark with an 85% target score.
The new SN44 task turns low-resolution youth football footage into an hourly computer vision benchmark with an 85% target score.
Score’s self-serve platform turns Subnet 44 computer-vision work into a builder-facing product for data, annotation, training, evaluation, deployment, and monitoring.
The update expands Score's real-world computer vision rollout into major fuel retail environments while Bittensor Subnet 44 prepares a broader push into world models.
Score is preparing to launch Score Studio, a platform designed to productize Bittensor Subnet 44 and support an open-source world model trained through the network.
The update replaces a one-size-fits-all scoring threshold with scale-aware mAP, aiming to make SN44’s computer vision rankings fairer across small and large objects.
The upcoming SN44 private track will challenge miners to evaluate Pokémon cards against professional ACE grades.
The partnership gives Forge its first public subnet partner as it builds a TAO borrowing market around Bittensor Alpha collateral.
Manako is building AI Vision Agents powered by Bittensor’s Score Subnet 44 to help enterprises turn security cameras into real-time operational intelligence systems.
Score’s Subnet 44 on Bittensor launched a new cricket ball-tracking challenge that asks miners to reconstruct advanced trajectory data from standard broadcast video alone, potentially disrupting proprietary systems like Hawk-Eye.
Manako and PwC France & Maghreb team up to turn enterprise cameras into real-time decision systems powered by decentralized AI on Bittensor.
"Bittensor isn’t a demo network. It’s running inside 77-year-old companies that move millions of physical goods. That's adoption."