Video Analytics AI Agents

Traditional approaches to customizing models for video analytics AI agents were linear and slow—collect video, label frames, train, evaluate, repeat—with a human in the loop at every step and months to reach acceptable accuracy. Modern approaches break this cycle by enabling coding agents to iteratively improve VLM and vision foundation model performance based on target goals.

Fine-tune vision language models with NVIDIA TAO  agent skills. 

NVIDIA TAO  is a suite of agent skills and tools for fine-tuning vision AI models with natural language prompts. Coding agents use these tools and skills to autonomously hit model accuracy targets by iteratively evaluating model accuracy, determining the precise training data needed, and then mining existing data or synthetically generating needed data.

Solve training data challenge with agent skills for synthetic data generation.

When training data is limited, developers can quickly generate synthetic defect data for visual inspection or augment videos for different scenarios such as weather, lighting, and more.