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洋yang 杨.

洋yang 杨.

AI Data Annotator (Freelance)

China flagchangsha, China

Key Skills

Software

CVATCVAT

Top Subject Matter

Computer vision for autonomous driving/surveillance/retail and voice data annotation
Smart city surveillance image annotation (vehicle/pedestrian attributes and behaviors)

Top Data Types

3D Sensor3D Sensor
ImageImage

Top Task Types

SegmentationSegmentation

Freelancer Overview

AI Data Annotator (Freelance). Core strengths include CVAT. Education includes Bachelor of Science, Central South University of Forestry and Technology (2025). AI-training focus includes data types such as 3D Sensor and Image and labeling workflows including Segmentation.

Labeling Experience

CVAT

AI Data Annotator (Freelance)

CVATCVAT3D Sensor3D SensorSegmentationSegmentation

Performed 2D/3D joint annotation for autonomous driving, surveillance, retail, and voice datasets, focusing on high-volume throughput and quality. Applied semantic segmentation, bounding box and polygon labeling, keypoints labeling, and point cloud annotation while maintaining stringent accuracy targets. Served as a quality inspector and improved team performance through consistency checking and rule standardization. • Labeled 800+ boxes/day with 98.7% accuracy (top 5%). • Annotated 106-point facial keypoints with a 1.2% rejection rate. • Supported a 3-person team by raising accuracy from 94% to 97.5% via QA. • Created rule sheets that reduced onboarding time from 3 days to 1 day.

2023 - Present
CVAT

AI Data Annotator (Project-Based)

CVATCVATImageImageSegmentationSegmentation

Annotated images for smart city surveillance with an emphasis on semantic segmentation and vehicle/pedestrian attribute labeling. Conducted daily review of samples, implemented rule optimizations, and used annotation workflows to reduce rework. Used CVAT frame interpolation to improve efficiency and consistency across labeled sequences. • Labeled 15,000+ images for smart city surveillance. • Reduced per-image annotation time by 15% for semantic segmentation. • Reviewed 100 samples daily and proposed 3 rule optimizations. • Used CVAT for frame interpolation to reduce rework.

2022 - 2023

Education

C

Central South University of Forestry and Technology

Bachelor of Science, Forestry and Technology

Bachelor of Science
2021 - 2025

Work History

C

Company not specified

data annotation

Location not specified
Not specified