Grass & Inference Launch Cloud-Based Video AI Outperforming Claude 4
Skilled on one of many world’s largest real-world video datasets from Grass and hosted on Inference.web’s scalable AI infrastructure, the mannequin delivers high-accuracy video annotation at a fraction of the associated fee and is out there immediately through API.
Grass and Inference.web immediately introduced the launch of ClipTagger-12b, a brand new video annotation mannequin constructed to establish actions, objects, and logos in video with excessive accuracy and element. Relevant throughout domains from autonomous autos to warehouse robotics, it strengthens the notion capabilities that many AI methods depend on.
In benchmark assessments, ClipTagger-12b outperforms Claude 4 and GPT-4.1 on annotation metrics like ROUGE and BLEU, whereas operating as much as 17x cheaper.
See full benchmarks on Hugging Face
Developed by means of a collaboration between Grass and Inference.web, ClipTagger-12b was skilled by Inference on a subset of over 1 billion movies collected from the general public internet by Grass and is hosted on Inference’s distributed compute community.
“It’s solely doable to coach low-cost, state-of-the-art fashions with the proper knowledge and good engineering,” mentioned Sam Hogan, CEO at Inference.web.
“We imagine the way forward for AI is dependent upon retaining the net open and constructing the infrastructure wanted to show it into one thing fashions can study from. This was a step in that course,” mentioned Andrej Radonjic, CEO at Wynd Labs.
The collaboration reveals how specialised groups can construct and deploy high-performance fashions as soon as restricted to massive AI labs, making superior video annotation accessible to extra builders and companies.
ClipTagger-12b is dwell now on Inference.web, the place builders and companies can entry it through API. Mannequin weights and extra sources are additionally accessible by means of the Hugging Face repository. Researchers can apply for as much as $10,000 of credit at inference.web/grants.
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