First-person image and video for embodied AI, robotics, and computer vision - captured to your scenario, actions, and environment.
Robotics & embodied AI
Manipulation policies, imitation learning, and navigation. First-person capture of real tasks in real environments.
AI labs & foundation models
Pretraining and world model data. Multimodal video, audio, and text at collection scale.
Computer vision teams
Detection, action recognition, and scene understanding across varied lighting, environments, and camera angles.
Speech & audio teams
ASR, diarization, and voice collection. Ambient and task-driven audio across languages and acoustic conditions.
Search & recommendation
Relevance rating, ranking, and query intent. Human judgment against your rubric and quality thresholds.
Autonomous systems
Perception data for obstacle, event, and traffic scenario coverage. Street-level and indoor capture.
1
First-person household video across kitchens, bedrooms, bathrooms, living areas, garages, and gardens. Real people complete cooking, cleaning, laundry, sewing, repair, tool use, gardening, and everyday object-handling tasks for embodied AI and imitation learning.
2
First-person capture on factory floors, workshops, and production lines. Covers assembly, inspection, machine operation, tool handling, maintenance, repair, safety procedures, and repeatable step-based workflows for industrial robotics and computer vision.
3
First-person warehouse and logistics activity across receiving, storage, picking, packing, sorting, scanning, pallet handling, loading, and inventory checks. Built for robotic manipulation, workflow recognition, navigation, and human-object interaction models.
4
First-person activity across offices, hospitality venues, service environments, and other commercial spaces. Covers equipment setup, cleaning, stock handling, food preparation, maintenance, customer service, and repeatable workplace procedures.
5
In-store activity from shopper and staff perspectives. Includes shelf browsing, product selection, basket handling, restocking, price checking, barcode scanning, checkout, returns, and customer interactions for retail computer vision and behaviour analysis.
6
Street-level first-person movement through public and outdoor environments. Covers walking, wayfinding, road crossing, obstacle avoidance, cycling, bike maintenance, public transport use, and interaction with signs, pathways, and changing terrain.
| Modalities | Image, video, audio, text, behavioral data |
| Capture device | Smartphone – head-mounted, chest-mounted, or handheld |
| Resolution | 1080p / 30fps standard; up to 4K / 60fps on capable devices |
| Video format | MP4 / H.264 |
| Audio | Ambient sound and voice captured where the task requires it |
| Annotations | Scene, location, lighting, and motion metadata as standard. Activity and sub-step labels, object inventory, and interaction events on request. |
| Output formats | JSON, CSV, COCO, XML, Parquet – API push or direct export |
| Volume | Scaled to your project – from pilot batch to ongoing collection |
| Licensing | Project-based or exclusive. Rights and provenance defined upfront |
| Delivery | Existing datasets shared on request; new collection scoped to your project, delivered in days to weeks depending on volume and complexity. |
| Pricing | Priced per hour of data, based on industry, scope, and technical requirements. No seat licenses, no retainers. |
Tell us what you need collected or enriched. We scope it and share samples before you commit.
© 2026 Acquirox. All rights reserved.
