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F
Fangjun G.

Fangjun G.

AI Data Labeling Intern / Practitioner (Image Annotation for Training Data)

China flagGuangdong, China

Key Skills

Software

LabelImgLabelImg
Other

Top Subject Matter

Clinical Medicine
Statistics

Top Data Types

ImageImage

Top Task Types

Bounding BoxBounding Box

Freelancer Overview

AI Data Labeling Intern / Practitioner (Image Annotation for Training Data). Core strengths include LabelImg, LabelMe, and Other. AI-training focus includes data types such as Image and labeling workflows including Bounding Box.

Labeling Experience

LabelImg

AI Data Labeling Intern / Practitioner (Image Annotation for Training Data)

LabelImgLabelImgImageImageBounding BoxBounding Box

Completed basic 2D bounding box annotation and image category classification for daily scene images used in AI model training. Ensured labeled outputs met the project’s labeling specifications and data quality requirements. Performed primary checks on completed work to catch and fix basic errors before delivery. • Annotated 2D bounding boxes for visual targets in images • Classified images into predefined categories per guidelines • Conducted self-inspection and sorting of completed annotations • Corrected basic marking errors and label format problems

2025 - 2026

Education

S

Southern Medical University

undergraduate student, Psychiatry

undergraduate student
2021 - 2026

Work History

N

Nanfang Hospital

clinical work

Guang Dong
2025 - Present