Kelvin Too

Key Skills

Software

CloudFactory

Sama

Remotasks

Labelbox

CVAT

Top Subject Matter

Autonomous Driving / Computer Vision

Retail Inventory & Manufacturing QA

Facial Recognition & Medical Imaging

Top Data Types

Image

Top Task Types

Bounding Box

Point/Key Point

Polygon

Freelancer Overview

Senior Data Annotator (Image Specialist), CloudFactory Kenya. Brings 9+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include CloudFactory, Sama, and Remotasks. Education includes Bachelor of Arts, University of Washington (2018). AI-training focus includes data types such as Image and labeling workflows including Bounding Box, Point, and Key Point.

Labeling Experience

Senior Data Annotator (Image Specialist), CloudFactory Kenya

CloudfactoryImageBounding Box

Served as Senior Data Annotator and Image Specialist on a high-profile autonomous vehicle project. Performed image comparison, bounding box annotation, and semantic segmentation on over 15,000 road scene images. Attained a QA score of 99.5% or higher, ensuring high-quality datasets for computer vision model training.• Used Labelbox, CVAT, and Scale AI for advanced image annotation • Focused on pedestrians, vehicles, and road sign detection • Led intricate semantic and polygon annotation tasks • Enhanced dataset diversity by identifying edge cases.

Served as Senior Data Annotator and Image Specialist on a high-profile autonomous vehicle project. Performed image comparison, bounding box annotation, and semantic segmentation on over 15,000 road scene images. Attained a QA score of 99.5% or higher, ensuring high-quality datasets for computer vision model training.• Used Labelbox, CVAT, and Scale AI for advanced image annotation • Focused on pedestrians, vehicles, and road sign detection • Led intricate semantic and polygon annotation tasks • Enhanced dataset diversity by identifying edge cases.

2022 - Present

Retail Shelf Analysis Project

LabelboxImageBounding Box

Executed side-by-side image comparison on over 5,000 retail shelf display photos to develop AI for stock-out detection. Used bounding box annotations for precise inventory location tracking in commercial environments. Delivered high-volume, quality-labeled data using Labelbox.• Improved shelf stock detection algorithm performance • Provided detailed bounding box annotations for product identification • Supported AI/ML training for retail analytics • Managed efficient annotation under project deadlines.

Executed side-by-side image comparison on over 5,000 retail shelf display photos to develop AI for stock-out detection. Used bounding box annotations for precise inventory location tracking in commercial environments. Delivered high-volume, quality-labeled data using Labelbox.• Improved shelf stock detection algorithm performance • Provided detailed bounding box annotations for product identification • Supported AI/ML training for retail analytics • Managed efficient annotation under project deadlines.

2023 - 2023

Agricultural Crop Monitoring Project

CVATImagePolygon

Performed semantic segmentation and polygon annotation on aerial drone imagery for agricultural crop monitoring. Distinguished between healthy and diseased crops to create high-quality training datasets for AI models in agriculture. Used CVAT for detailed annotation of remote sensing data.• Enhanced disease detection models via precise labeling • Worked with geospatial imagery from drones • Delivered high-resolution segmentation masks • Supported agricultural AI applications.

Performed semantic segmentation and polygon annotation on aerial drone imagery for agricultural crop monitoring. Distinguished between healthy and diseased crops to create high-quality training datasets for AI models in agriculture. Used CVAT for detailed annotation of remote sensing data.• Enhanced disease detection models via precise labeling • Worked with geospatial imagery from drones • Delivered high-resolution segmentation masks • Supported agricultural AI applications.

2022 - 2022

Data Labeling Associate, Sama (formerly Samasource)

SamaImageBounding Box

Worked as a Data Labeling Associate for retail and manufacturing industry projects. Annotated images using bounding boxes and cuboids for inventory management AI and defect detection models. Collaborated with QA leads to optimize annotation guidelines and reduce team error rates by 15%.• Performed 400+ complex annotations per day • Utilized VGG Image Annotator for polygon mapping • Conducted image comparison for assembly line defect detection • Enhanced QA and annotation efficiency.

Worked as a Data Labeling Associate for retail and manufacturing industry projects. Annotated images using bounding boxes and cuboids for inventory management AI and defect detection models. Collaborated with QA leads to optimize annotation guidelines and reduce team error rates by 15%.• Performed 400+ complex annotations per day • Utilized VGG Image Annotator for polygon mapping • Conducted image comparison for assembly line defect detection • Enhanced QA and annotation efficiency.

2020 - 2021

Freelance Image Annotator (Remote/Upwork/Remotasks)

RemotasksImagePoint Key Point

Provided freelance image annotation services for multiple remote clients via Upwork and Remotasks. Labeled data for facial recognition, medical imaging comparison, and key point detection tasks in diverse fields. Produced quality datasets meeting tight project deadlines using various annotation tools.• Delivered facial recognition and key point datasets • Completed image comparison for medical AI projects • Applied Labelbox for high-accuracy labeling • Demonstrated strong project time management.

Provided freelance image annotation services for multiple remote clients via Upwork and Remotasks. Labeled data for facial recognition, medical imaging comparison, and key point detection tasks in diverse fields. Produced quality datasets meeting tight project deadlines using various annotation tools.• Delivered facial recognition and key point datasets • Completed image comparison for medical AI projects • Applied Labelbox for high-accuracy labeling • Demonstrated strong project time management.

2019 - 2020

Education

Work History