> ## Documentation Index > Fetch the complete documentation index at: https://docs.nlabel.ai/llms.txt > Use this file to discover all available pages before exploring further. # Introduction > Egocentric video datasets for training robotic AI systems ## What we provide We offer **high-quality egocentric video datasets** designed for training robot perception, manipulation, and multimodal reasoning models. Our data is captured using **fisheye head-mounted and wrist-mounted cameras**, providing synchronized first-person views of real-world tasks. ## Core concepts Understand the foundations behind our data and capture pipeline. Learn why first-person video is critical for embodied AI and robotics. Head-mounted and wrist-mounted fisheye camera systems. Action labels, hand pose, object states, and language grounding. Long-horizon real-world datasets for robot learning. ## Using the data Everything you need to integrate datasets into training and evaluation pipelines. File structure, video streams, and annotation formats. Commercial usage, training rights, and enterprise terms. ## API & tooling Programmatic access to datasets with Python tooling. ## Quickstart Load egocentric datasets and start training in minutes.