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Frankline Kingori

Frankline Kingori

Data Annotation Trainee / Freelance Annotator

Kenya flagRuiru, Kenya
$10.00/hrIntermediateCVAT

Key Skills

Software

CVATCVAT

Top Subject Matter

Medical/pharmaceutical Domain Expertise

Top Data Types

ImageImage

Top Task Types

Bounding BoxBounding Box

Freelancer Overview

Data Annotation Trainee / Freelance Annotator. Brings 1+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include CVAT. Education includes Bachelor of Pharmacy, Mount Kenya University (2024). AI-training focus includes data types such as Image and labeling workflows including Bounding Box.

IntermediateEnglishSwahili

Labeling Experience

CVAT

Data Annotation Trainee / Freelance Annotator

CVATImageBounding Box
I performed precise image annotation using CVAT.ai, focusing primarily on object identification through accurate placement of bounding boxes. Intensive data cleaning tasks were carried out in Microsoft Excel to ensure dataset reliability and eliminate errors and duplicates. I am currently broadening my skills to include video annotation (with temporal tracking) as well as text annotation using Labelbox for sentiment analysis and tagging. • Achieved project deadlines consistently and maintained an accuracy rate of 98% or higher in practice datasets. • Specialized in 2D bounding box annotation and image classification under medical and pharmaceutical contexts. • Cleaned large datasets and ensured high data quality for machine learning models. • Active ongoing training in advanced video annotation and text categorization techniques.

I performed precise image annotation using CVAT.ai, focusing primarily on object identification through accurate placement of bounding boxes. Intensive data cleaning tasks were carried out in Microsoft Excel to ensure dataset reliability and eliminate errors and duplicates. I am currently broadening my skills to include video annotation (with temporal tracking) as well as text annotation using Labelbox for sentiment analysis and tagging. • Achieved project deadlines consistently and maintained an accuracy rate of 98% or higher in practice datasets. • Specialized in 2D bounding box annotation and image classification under medical and pharmaceutical contexts. • Cleaned large datasets and ensured high data quality for machine learning models. • Active ongoing training in advanced video annotation and text categorization techniques.

2025 - Present

Education

M

Mount Kenya University

Bachelor of Pharmacy, Pharmacy

Bachelor of Pharmacy
2020 - 2024

Work History

N

Nyeri County Referral Hospital

Pharmacist Intern

Nyeri
2024 - 2025