Meet, scope, and tailor
We work directly with your team to translate a model need into practical capture instructions, acceptance criteria, and a delivery format.
We meet directly with your team, learn the behavior your model needs, and design first-person video collection around your exact tasks, environments, camera setup, and delivery requirements.
Our current library contains approximately four hours of focused sample footage. It demonstrates the capture approach; client datasets are collected to order around the exact behavior, environment, and volume required.
Every engagement begins with a working conversation. Together, we define the task, environment, viewpoint, duration, repetition, privacy boundaries, and metadata requirements before building a pilot capture plan.
We work directly with your team to translate a model need into practical capture instructions, acceptance criteria, and a delivery format.
Real object handling preserves the variation, occlusion, mistakes, and recovery behavior models encounter outside the lab.
A broad network of contacts gives us a practical path to recruit the right contributors, environments, and task backgrounds as an approved pilot expands.
Metadata, file organization, consent boundaries, audio choices, PII review, redaction, and delivery access can all be tailored to the project.
You work with us directly throughout the project, with clear checkpoints before time and budget are committed to larger collection volumes.
We discuss the model goal, tasks, objects, setting, camera requirements, privacy constraints, and expected delivery format.
Review a small sample to confirm framing, task execution, visual quality, and metadata before scaling.
Capture follows the approved protocol, using the right contributors and environments for the project, with each session screened for completeness and usability.
Receive organized media, a structured manifest, and any agreed task or interaction annotations.
The value of real-world data comes from knowing what happened, under what conditions, and whether each clip meets the requested standard.
{
"session_id": "EDS-TOOL-0042",
"task": "drive_fastener",
"viewpoint": "head_mounted",
"environment": "residential_worksite",
"video": {
"resolution": "1920x1440",
"fps": 29.97,
"audio": false
},
"quality": {
"task_complete": true,
"camera_occlusion": "low"
}
}
Human demonstrations with task context for learning action sequences and object affordances.
Hands, tools, deformable objects, contact events, and two-handed coordination in natural settings.
Test perception across clutter, lighting changes, motion blur, occlusion, and varied environments.
Capture long-form tasks for step recognition, temporal segmentation, and failure-mode analysis.
Bring a task list, research goal, or even an early idea. We will meet with your team, ask the right questions, and turn it into a practical pilot plan built around your needs.
support@egodatasolutions.com ↗