Autonomous Driving Data Annotation & QA
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Participated in a high-precision data annotation project for autonomous driving systems through the datamaker.io platform. My primary responsibility involved labeling and categorizing diverse road environment data to enhance the object detection and situational awareness of AI models.
Key Tasks : Performed 2D/3D Bounding Box, Semantic Segmentation, and Polyline annotation for various objects including vehicles, pedestrians, and traffic signs.
Quality Control : Conducted rigorous data inspection and QA (Quality Assurance) to ensure 99% accuracy, adhering to strict project guidelines.
Domain Focus : Focused on urban road scenarios and complex weather conditions to improve the reliability of autonomous perception algorithms.
Participated in a high-precision data annotation project for autonomous driving systems through the datamaker.io platform. My primary responsibility involved labeling and categorizing diverse road environment data to enhance the object detection and situational awareness of AI models. Key Tasks : Performed 2D/3D Bounding Box, Semantic Segmentation, and Polyline annotation for various objects including vehicles, pedestrians, and traffic signs. Quality Control : Conducted rigorous data inspection and QA (Quality Assurance) to ensure 99% accuracy, adhering to strict project guidelines. Domain Focus : Focused on urban road scenarios and complex weather conditions to improve the reliability of autonomous perception algorithms.
2021 - 2022