Shelf-to-satellite annotation, at retail volume.
Whether it's millions of shelf photos or continents of satellite imagery, recognition models need relentless, consistent labels. Labelix runs dedicated pods that tag products, planograms, buildings, land use and change — at the volume and cadence these models demand.
- Independent & neutral
- In-office · NDA-bound
- Live in ~3 weeks
- Never crowdsourced
The annotation your models actually need.
The bottleneck isn't the model. It's the labels behind it.
New SKUs, store formats and regions arrive constantly — each needs fresh labels to keep accuracy up.
The volume is enormous and never-ending; a gig crowd can't hold consistency across it.
Your imagery and catalog are competitive assets — they shouldn't leave a controlled environment.
A dedicated team — not a crowd you can't see.
Retail shelf-intelligence & loss prevention · visual search & catalog · satellite/aerial analytics · mapping & geospatial platforms.
A dedicated pod, live in ~3 weeks
We recruit and train a dedicated, in-office team for your domain and ramp it under daily QA — not a rotating, anonymous crowd. A small paid pilot proves quality before you scale.
Independent & data-firewalled
No Big-Tech owner, no conflicted incumbent. Your data is handled by vetted staff under signed NDAs in a controlled, access-controlled environment — never farmed out.
Consistency that compounds
The same retained team learns your taxonomy and edge cases, so each new product line, region, template or language is a re-train — not a restart.
Questions, answered straight.
Still have one? Tell us about your data and we'll scope a small paid pilot.
Retail and geospatial annotation is the labeling of shelf, product, satellite and aerial imagery so recognition and mapping models can identify SKUs, planograms, buildings, land use and change over time. Labelix delivers it at retail and satellite volume with a dedicated, in-office team.
Retail shelf and product photos (classification, planogram detection, price/label OCR) and geospatial imagery (satellite and aerial segmentation, building and land-use labeling, change detection). We scope to your classes and output format.
Yes — that recurring cadence is exactly what a dedicated pod is built for. The retained team absorbs new SKUs, packaging and store layouts continuously instead of re-onboarding a crowd each cycle.
We scale your dedicated pod with demand — adding trained annotators (and shift capacity) while holding quality with layered QA. You get throughput without trading away the consistency large recognition models need.
In a controlled, access-controlled environment, handled by vetted staff under NDA. We never distribute sensitive retail or geospatial data to anonymous gig workers; outputs and IP remain yours.
Put a dedicated retail · geospatial · satellite pod on your data.
Start with a small paid pilot — see the quality before you scale. Independent, in-office, and live in about three weeks.