Image data collection.
Real-world photo data shot to your exact spec — sourced across the objects, environments, and demographics your model needs to see, not just the ones easiest to find online.
Coverage across products, documents, and everyday scenes.
Each capture set can be scoped by geography, device, lighting, and demographic mix.
Products
Product photography shot to spec for cataloging, recognition, or e-commerce datasets.
Documents
Document photos and scans captured under real-world lighting and handling conditions.
Receipts
Receipt imagery captured across formats and conditions for OCR and extraction models.
Business cards
Business card photos captured across layouts and print styles for extraction pipelines.
Signage
Street and storefront signage captured in context for detection and OCR models.
Indoor scenes
Household and interior environments captured across layouts and lighting conditions.
Outdoor scenes
Street and outdoor environments captured across geography, weather, and time of day.
Retail environments
In-store imagery captured for shelf, checkout, and store-layout recognition models.
Everyday objects
Common objects captured across angles, backgrounds, and real-world contexts.
Need these images labeled once collected? See Image Annotation.
From spec to a validated dataset.
Every image collection program follows the same operating sequence.
Scope
Subjects, environments, geography, device, and demographic mix defined up front.
Recruit
Collectors sourced to match the spec — not pulled from a generic image-gig pool.
Train
Collectors briefed on exactly what to shoot and how, before capture starts.
Capture
Images shot to spec across the required locations and conditions.
Validate
Automated checks for format, completeness, and duplicate detection run on every submission.
QA & deliver
Human review samples the set before it's packaged and delivered on your schedule.
Have a data requirement?
Give us the specification — we'll build the operation around it.
Start a Pilot →