Mu Z.

Key Skills

Software

LabelImg

Labelbox

Top Subject Matter

License Plate Recognition

Computer Vision

Landscape Architecture

Top Data Types

Image

Text

Top Task Types

Bounding Box

Classification

Freelancer Overview

Data Annotator & AI Model Training Assistant (License Plate Recognition Project). Brings 3+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include MakeSense, LabelImg, and Labelbox. Education includes Bachelor of Landscape Architecture, Southwest Forestry University (2021). AI-training focus includes data types such as Image and labeling workflows including Bounding Box and Classification.

Labeling Experience

Data Annotator & AI Model Training Assistant (License Plate Recognition Project)

ImageBounding Box

This project involved end-to-end image data collection, annotation, and AI model training for license plate recognition. I meticulously annotated vehicle license plates using bounding boxes and performed data cleaning and augmentation to ensure dataset quality. I contributed to the development, optimization, and deployment of a YOLO-based detection model for real-world application. • Managed annotation workflow to improve model accuracy • Utilized MakeSense and LabelImg for efficient and accurate labeling • Performed data cleansing and augmentation for robust datasets • Supported full-cycle AI model training and evaluation

2022 - 2022

Image Reviewer & Annotator (Landscape/Urban Planning)

ImageClassification

I conducted structured image reviews and classification for landscape architecture and urban planning tasks. My role required detailed analysis of images, drawings, and site photographs with strict quality controls. I leveraged annotation tools to support efficient, collaborative AI-human workflows. • Annotated with MakeSense and Labelbox for image-based datasets • Applied spatial recognition expertise to labeling tasks • Ensured consistency and accuracy in labeling through quality control • Supported material organization for AI-driven design processes

2021 - 2022

Education

Work History