Adekunle Oluwole

Key Skills

Software

Labelbox

CVAT

Top Subject Matter

Autonomous Vehicles

Finance- Investment Decisions

E-commerce

Top Data Types

Image

Video

Audio

Top Task Types

Segmentation

Classification

Point/Key Point

Question Answering

Transcription

Evaluation/Rating

Freelancer Overview

Data Annotation Specialist. Brings 2+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Labelbox and CVAT. Education includes Bachelor of Science, Obafemi Awolowo University (2021). AI-training focus includes data types such as Image, Medical, and DICOM and labeling workflows including Bounding Box and Polygon.

Labeling Experience

Data Annotation Specialist

LabelboxImageBounding Box

As a Data Annotation Specialist at TechData Solutions Inc., I annotated and labeled over 500 images daily for autonomous vehicle datasets. I utilized advanced annotation techniques including bounding boxes, polygons, and semantic segmentation, maintaining a 98.5% accuracy rate. My work supported machine learning model training by providing high-quality, precise training data. • Collaborated with ML engineers to refine annotation guidelines. • Performed quality assurance reviews to maintain consistency. • Utilized Labelbox, CVAT, and Amazon SageMaker Ground Truth. • Handled aggressive project deadlines while ensuring accuracy.

As a Data Annotation Specialist at TechData Solutions Inc., I annotated and labeled over 500 images daily for autonomous vehicle datasets. I utilized advanced annotation techniques including bounding boxes, polygons, and semantic segmentation, maintaining a 98.5% accuracy rate. My work supported machine learning model training by providing high-quality, precise training data. • Collaborated with ML engineers to refine annotation guidelines. • Performed quality assurance reviews to maintain consistency. • Utilized Labelbox, CVAT, and Amazon SageMaker Ground Truth. • Handled aggressive project deadlines while ensuring accuracy.

2024 - Present

Data Labeling Technician

CVATPolygon

At AI Vision Labs, I labeled medical imaging data, including X-rays, MRIs, and CT scans, for diagnostic AI development. I executed frame-by-frame video annotation for object tracking and action recognition models. My efforts ensured over 97% inter-annotator agreement through meticulous adherence to labeling guidelines. • Participated in calibration sessions with a large annotation team. • Managed workflows with Jira for efficient project tracking. • Contributed to custom annotation guidelines for new categories. • Focused on detail and consistency in medical and video data annotation.

At AI Vision Labs, I labeled medical imaging data, including X-rays, MRIs, and CT scans, for diagnostic AI development. I executed frame-by-frame video annotation for object tracking and action recognition models. My efforts ensured over 97% inter-annotator agreement through meticulous adherence to labeling guidelines. • Participated in calibration sessions with a large annotation team. • Managed workflows with Jira for efficient project tracking. • Contributed to custom annotation guidelines for new categories. • Focused on detail and consistency in medical and video data annotation.

2022 - 2023

Education

Work History