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Harmony F.

Harmony F.

Datamaker Certified Data Labeling Specialist — hands-on project practice (3D cuboid annotation on LiDAR)

Ghana flagAccra, Ghana

Key Skills

Software

No software listed

Top Subject Matter

Autonomous vehicle perception (LiDAR-based 3D object annotation)
Autonomous vehicle perception (2D image annotation)
Legal Services & Contract Review

Top Data Types

3D Sensor3D Sensor
ImageImage
TextText
DocumentDocument

Top Task Types

CuboidCuboid
PolygonPolygon

Freelancer Overview

Datamaker Certified Data Labeling Specialist — hands-on project practice (3D cuboid annotation on LiDAR). Core strengths include Datamaker. Education includes Bachelor of Science, SIIMT University College (2027) and West African Senior School Certificate Examination, St. Jude’s Girls Secondary School (2019). AI-training focus includes data types such as 3D Sensor and Image and labeling workflows including Cuboid and Polygon.

Labeling Experience

Datamaker Certified Data Labeling Specialist — hands-on project practice (image annotation)

ImageImagePolygonPolygon

Annotated images and LiDAR point cloud data for autonomous vehicle perception datasets using polygon annotation techniques. Performed bounding box and polygon labeling with an emphasis on accuracy and adherence to labeling guidelines. Conducted quality assurance checks to maintain correct annotation outcomes. • Polygon annotation for dataset images • Bounding box and polygon labeling for perception datasets • Applied labeling guideline compliance practices • Performed QA checks to maintain annotation accuracy

2026

Datamaker Certified Data Labeling Specialist — hands-on project practice (3D cuboid annotation on LiDAR)

3D Sensor3D SensorCuboidCuboid

Participated in supervised, hands-on 3D cuboid annotation on LiDAR point cloud datasets for autonomous vehicle perception. Applied labeling guidelines to maintain consistency and accuracy aligned with industry QA standards. Completed 30+ hours of practice across image and point cloud annotation modalities. • 3D cuboid labeling on LiDAR point clouds • Followed autonomous-driving labeling guidelines for QA/QC • Trained to maintain annotation accuracy under production-style rules • Supported dataset annotation for self-driving car perception tasks

2026

Education

S

SIIMT University College

Bachelor of Science, Information Security

Bachelor of Science
2024 - 2027
S

St. Jude’s Girls Secondary School

West African Senior School Certificate Examination, N/A

West African Senior School Certificate Examination
2015 - 2019

Work History

C

Company not specified

Autonomous Vehicle Perception Dataset Annotation * Annotated images using bounding box and polygon techniques

Location not specified
Not specified