3.5 million retail images annotated in under five months at 98%+ accuracy.
A UK-based retail AI company building computer vision solutions to analyse product placement and shelf visibility across thousands of stores. Their model performance depends on consistent, large-volume labelled image data — at a scale that broke their freelancer and in-house pipelines.
3.5M+ images labelled in under five months. 98%+ accuracy throughout. 58% lower cost than the previous mixed-vendor pipeline.
- 3.5M+
- Images annotated in <5 months
- 98%+
- Accuracy maintained
- −58%
- Cost vs prior pipeline
Challenge
Approach
Outcome
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