Lê Mai Hương

Key Skills

Software

Appen

Clickworker

Top Subject Matter

Self - driving car imagegy

LLM evaluation in Vietnamese

Satellite image classification

Top Data Types

3D Sensor

Image

Top Task Types

Bounding Box

Cuboid

Polygon

Freelancer Overview

With eight months of experience in data labeling and AI training, I have developed a deep understanding of how to annotate data accurately for machine learning models. I specialize in Vietnamese language annotation and have been involved in various projects that focus on natural language processing and general AI data annotation. My attention to detail, combined with a strong commitment to quality, has consistently allowed me to meet and exceed project expectations.

Labeling Experience

Data Labeling

ClickworkerImageBounding BoxPolygon

For the past eight months, I have been involved in a cuboid annotation project aimed at enhancing computer vision models. The project required precise labeling of objects in 3D space, using cuboid-shaped annotations to mark the dimensions, orientation, and position of various items within images. My role was to ensure the accurate placement and alignment of cuboids to train models for depth perception and object recognition. This project helped sharpen my skills in spatial reasoning, attention to detail, and the ability to work with complex visual data. I became proficient in using annotation tools specifically designed for 3D data labeling and collaborated closely with a quality control team to ensure the highest accuracy rates. Throughout the project, I met tight deadlines and consistently delivered high-quality annotations that contributed to the successful development of AI systems for applications such as autonomous driving and object detection.

For the past eight months, I have been involved in a cuboid annotation project aimed at enhancing computer vision models. The project required precise labeling of objects in 3D space, using cuboid-shaped annotations to mark the dimensions, orientation, and position of various items within images. My role was to ensure the accurate placement and alignment of cuboids to train models for depth perception and object recognition. This project helped sharpen my skills in spatial reasoning, attention to detail, and the ability to work with complex visual data. I became proficient in using annotation tools specifically designed for 3D data labeling and collaborated closely with a quality control team to ensure the highest accuracy rates. Throughout the project, I met tight deadlines and consistently delivered high-quality annotations that contributed to the successful development of AI systems for applications such as autonomous driving and object detection.

2024 - 2024

Education

Work History