David Yegon

Key Skills

Software

Clickworker

CrowdSource

CVAT

Data Annotation Tech

Dataloop

Labelbox

Top Subject Matter

No subject matter listed

Top Data Types

Computer Code Programming

Image

Text

Top Task Types

Bounding Box

Cuboid

Data Collection

Polygon

Question Answering

Freelancer Overview

I am a detail-oriented expert with hands-on exposure to labelling data and AI training, notably through work at Sama Impact Sourcing, where I labelled and annotated data with utmost accuracy to help build machine learning models. My experience underscored maintaining high data accuracy, integrity, and quality control standards through specialized digital platforms. Additionally, my participation in the UNICEF School Mapping Exercise improved my data collection, validation, and computer record upkeep ability, solidifying my ability to handle large-scale data projects successfully. With an ICT background and good command over tools like MS Office, I have technical skills combined with soft skills of analytical mind, attention to details, and teamwork. My work has directly impacted improved AI model performance as well as helped in government-level data reporting projects, making me a capable and reliable data annotation specialist.

Labeling Experience

DBE LIDAR

Labelbox3D SensorBounding BoxPolygon

Identifying and classifying objects within the point cloud data, such as roads, lanes, vehicles, pedestrians, and obstacles. Annotated LiDAR data serves as the foundation for training machine learning models that enable the self-driving system to interpret and understand its environment.

Identifying and classifying objects within the point cloud data, such as roads, lanes, vehicles, pedestrians, and obstacles. Annotated LiDAR data serves as the foundation for training machine learning models that enable the self-driving system to interpret and understand its environment.

2022 - 2024

Education

Work History