AI Training DataFMCG / Automotive

Vision Training Data at Fortune 500 Scale

Global FMCG & Automotive programs

Led a 50-person annotation operation with Python-automated QA for object detection and OCR programs.

50-person team delivering under enterprise quality SLAs

Python QA automation significantly reduced manual review

Programs supported production model training at F500 scale

The challenge

Enterprise computer-vision programs needed hundreds of thousands of precisely annotated images — object detection, segmentation, and OCR — under strict quality SLAs that manual review alone could not guarantee.

What we built

Trodas led a 50-annotator team across product detection and vehicle-program workloads, building Python QA automation that validated annotations structurally and statistically before delivery, plus OCR pipelines for text extraction.

The outcome

50-person team delivering under enterprise quality SLAs
Python QA automation significantly reduced manual review
Programs supported production model training at F500 scale

Project facts

Client: Global FMCG & Automotive programs
Industry: FMCG / Automotive
Service: AI Training Data

Stack

Label StudioSuperviselyPythonOpenCVPaddleOCR

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