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Score Studio is live today. Computer vision has been fragmented across labeling tools, notebooks, model hubs, and deployment stacks. We brought the workflow into one place. Annotate. Train. Evaluate. Deploy. Try it free at Product Hunt launch: 12:01am PT.

45,842 views • 1 month ago •via X (Twitter)

18 Comments

Phil's profile picture
Phil1 month ago

huugeee!

Louise Beattie's profile picture
Louise Beattie1 month ago

Congratulations 🔥🔥🔥🔥

Chairman τao's profile picture
Chairman τao1 month ago

Launched with V I S I O N

Alex DRocks's profile picture
Alex DRocks1 month ago

Nice job

Score's profile picture
Score1 month ago

🙏

OB's profile picture
OB1 month ago

🔥🔥

Mob Studios's profile picture
Mob Studios1 month ago

congrats with the launch!

Bittensor Türkiye's profile picture
Bittensor Türkiye1 month ago

Congrats guys

J-Classic Beats 3.0's profile picture
J-Classic Beats 3.01 month ago

🔥🔥🔥🔥🔥

obese's profile picture
obese1 month ago

let's gooo

Nada_19_04's profile picture
Nada_19_041 month ago

👏👏🚀🙏

Buttensor's profile picture
Buttensor1 month ago

🥳🥳🥳

Carbon's profile picture
Carbon1 month ago

Congrats guys 👏🏼

Tungfa … τ's profile picture
Tungfa … τ1 month ago

LFG

Postman_Nay's profile picture
Postman_Nay1 month ago

These are the developments the industry needs great launch 👏

Tako's profile picture
Tako1 month ago

Congrats Score 🔥🫵

JSP_the1st 🐸's profile picture
JSP_the1st 🐸1 month ago

👏

RVCrypto's profile picture
RVCrypto1 month ago

Congrats guys, I know how hard you all been working on this. Excited for whats to come!

Related Videos

When we started Score, the standard computer vision tools already existed. About a million people use them every day. Most of those people are still waiting on labels, running training jobs by hand, and watching models fail once they leave the test set. Most of those people are still waiting on labels, running training jobs by hand, and watching models fail once they leave the test set. Most of those people are also still waiting on verified computer vision models, evaluated against real life conditions and ready to be deployed for them to deliver value for their teams, clients or users. Score Studio is the full computer vision path in one place. A team describes the problem. The system can generate the missing scenes, label them, train the candidates, evaluate which ones actually hold, and deploy the winner. Data, labels, training, eval, ship. One loop. If no model exists for that job yet, they can put a bounty on the subnet. Anything from a small vision brick to a full VLM. Miners compete on the task. Only the winning work comes back. Same path for software agents. Any agent can call it. Built to be fully agent-accessible. Built for the people who already do this work: computer vision engineers and the small teams around them in plants, warehouses, farms, robotics, sport, and security. And for the agents those teams will run. That is the part that changes the job. Not another training screen. The stretch that used to take a lab and a calendar, footage, boxes, versions, failed runs, a separate deploy project, sits behind one starting point. And if the network needs a new model, that request is part of the same path. We spent more than a year building it. Then we had a choice. Keep it for us, or commoditize the whole subnet and make it available 24/7, in permissionless and open-source way. And we knew we couldn't keep it for us. It had to live on Bittensor. Open source software already showed how this should work. Infrastructure should not sit inside one company. Same idea as open AI before the phrase changed meaning: inspect it, fork it, keep building. That is what SN44 is for. Open vision intelligence, powered by Bittensor. Miners do the work. Studio is how that gets monetized. Profit does not stay in a company account. It goes back into the subnet through buyback and burn. We built the tool we wanted on day one. It will live on the network now, and for ever. Waitlist is open.

Score

11,292 views • 2 months ago