Azeez Edun

Key Skills

Software

Label Studio

Top Subject Matter

Medical Imaging - X-ray Diagnostics

Animal Classification/Object Detection

Legal Services & Contract Review

Top Data Types

Image

Medical Dicom

Text

Document

Top Task Types

Bounding Box

Segmentation

Classification

Freelancer Overview

Medical Image Annotation for AI Diagnostics (Project). Core strengths include Label Studio. AI-training focus includes data types such as Medical, DICOM, and Image and labeling workflows including Segmentation and Classification.

Labeling Experience

Custom Dog/Cat Object Detection Dataset (Project)

Label StudioImageBounding BoxClassification

I developed a custom multi-class object detection dataset for animal class identification, specifically for dog and cat detection models. My responsibilities included dataset sourcing, annotation, export in YOLO format, and ground-truth validation against model predictions. These tasks improved mean average precision (mAP) and overall annotation consistency. • Established full class mapping and dataset splits for training/validation/test. • Validated and corrected inconsistent annotations to enhance performance. • Utilized Label Studio for structured annotation and export. • Supported model evaluation through detailed comparison with ground truth.

I developed a custom multi-class object detection dataset for animal class identification, specifically for dog and cat detection models. My responsibilities included dataset sourcing, annotation, export in YOLO format, and ground-truth validation against model predictions. These tasks improved mean average precision (mAP) and overall annotation consistency. • Established full class mapping and dataset splits for training/validation/test. • Validated and corrected inconsistent annotations to enhance performance. • Utilized Label Studio for structured annotation and export. • Supported model evaluation through detailed comparison with ground truth.

2024 - Present

Medical Image Annotation for AI Diagnostics (Project)

Label StudioMedical DicomBounding BoxSegmentation

For a medical diagnostics AI project, I annotated X-ray images using bounding boxes and segmentation masks to facilitate model development. I contributed to fine-tuning the YOLOv8 pipeline through high-precision annotations and class-level accuracy. This work enabled robust validation performance and refined medical dataset quality. • Supported AI-assisted diagnostics through detailed segmentation labeling. • Focused on annotation quality for impactful downstream medical model performance. • Identified and corrected class-level inconsistencies during QA processes. • Enhanced dataset utility for clinical model training and evaluation.

For a medical diagnostics AI project, I annotated X-ray images using bounding boxes and segmentation masks to facilitate model development. I contributed to fine-tuning the YOLOv8 pipeline through high-precision annotations and class-level accuracy. This work enabled robust validation performance and refined medical dataset quality. • Supported AI-assisted diagnostics through detailed segmentation labeling. • Focused on annotation quality for impactful downstream medical model performance. • Identified and corrected class-level inconsistencies during QA processes. • Enhanced dataset utility for clinical model training and evaluation.

2024 - Present

Computer Vision Data Support – Personal & Client Projects

Label StudioImageBounding Box

Provided comprehensive computer vision data support on personal and client projects by curating and annotating custom image datasets. Validated annotations, reviewed model predictions, and maintained versioned datasets for reproducibility. Focus areas included animal imagery and medical pictures for object detection use cases. • Curated and annotated animal and medical image datasets. • Supported object detection model training and validation. • Managed dataset versions and annotation documentation. • Ensured robust data reproducibility and accuracy.

Provided comprehensive computer vision data support on personal and client projects by curating and annotating custom image datasets. Validated annotations, reviewed model predictions, and maintained versioned datasets for reproducibility. Focus areas included animal imagery and medical pictures for object detection use cases. • Curated and annotated animal and medical image datasets. • Supported object detection model training and validation. • Managed dataset versions and annotation documentation. • Ensured robust data reproducibility and accuracy.

2024

Data Annotation Specialist – Freelance

Label StudioImageBounding Box

As a freelance Data Annotation Specialist, I precisely annotated image datasets using bounding boxes for object detection tasks and ensured class consistency. I prepared YOLO-compatible datasets and performed quality assurance checks to improve usability. Regular collaboration with ML practitioners refined guidelines and resolved ambiguities. • High-precision image dataset annotation with bounding boxes. • Exported datasets in YOLO format and ensured class mapping accuracy. • Conducted quality assurance for dataset consistency. • Worked closely with ML teams to refine annotation standards.

As a freelance Data Annotation Specialist, I precisely annotated image datasets using bounding boxes for object detection tasks and ensured class consistency. I prepared YOLO-compatible datasets and performed quality assurance checks to improve usability. Regular collaboration with ML practitioners refined guidelines and resolved ambiguities. • High-precision image dataset annotation with bounding boxes. • Exported datasets in YOLO format and ensured class mapping accuracy. • Conducted quality assurance for dataset consistency. • Worked closely with ML teams to refine annotation standards.

2024

Education

Work History