AI developers across the globe share the challenge of finding sufficient high-quality, accurate and reliable video data to train visual AI models. Today, Milestone Systems announces Project Hafnia to build services and democratize AI-model training with high-quality, compliant video data leveraging NVIDIA Cosmos Curator and AI model, fine-tuning microservices.
Leveraging the NVIDIA platform, Milestone Systems’ Project Hafnia is aiming to be a leading service for data generators, to share and utilize their data, and for developers, to access traceable and regulatory-compliant annotated video data.
Milestone’s goal is to put the latest advances in Vision Language Models (VLM) and supporting data curation capabilities in the hands of as many developers as possible. One of the first service offerings is a VLM, fine-tuned using NVIDIA fine-tuning microservices on a large volume of compliant transportation data, curated using NVIDIA Cosmos Curator.
The VLM’s accuracy and performance optimizations are tuned for running on NVIDIA GPUs and in NVIDIA’s video search and summarization (VSS) AI blueprint.
“By leveraging the NVIDIA platform, Milestone Systems is helping accelerate this next wave of powerful visual services,” says Deepu Talla NVIDIA Vice President and General Manager — Embedded and Edge Computing. “The next phase in development and adoption of visually perceptive Agentic AI services will be unlocked by recipes like NVIDIA VSS blueprint combined with widely available and accessible fine-tuned VLM models,” he says.
