Annotation Transportation System for a Korean Project of Automotive

Client Overview

Our client is a Korean company providing ADAS (Advanced Driver Assistance Systems) solution. They require a high-quality dataset for their AI System.

Specific Requirement

Our client needs data annotation for classes of Lane/Road boundary, Road Surface & Traffic Sign & Vehicle & Traffic Cone.


– We apply different types of annotation like Bounding Box, Polyline, Polygon.

– Output format: JSON



  • Quick team Setup of 35 members
  • 160K Images Annotated
  • Annotation Error Rate: 0.5%

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