Azeez Edun

Key Skills

Software

Label Studio

Top Subject Matter

No subject matter listed

Top Data Types

Image

Medical Dicom

Top Label Types

Bounding Box

Freelancer Overview

I have hands on experience in AI training data creation across both text and image datasets, with a strong focus on computer vision annotation using Label Studio. My work includes bounding box annotation, object classification, and dataset quality assurance for object detection tasks. I am experienced in following annotation guidelines, handling edge cases, and ensuring label consistency, with datasets exported in YOLO format for downstream model training. I also self hosted Label Studio using Docker, which strengthened my understanding of annotation workflows, data management, and scalability. I have worked on multiple image annotation projects, including custom dog and cat object detection datasets and medical image annotation for AI diagnostics using X ray imagery. These projects involved bounding boxes, dataset curation, validation of annotations, and reviewing model predictions to improve data quality. In addition, I have experience with text based annotation tasks such as classification and response evaluation, supported by my background in STEM education and research, which enables precise judgment, structured thinking, and high quality training data delivery

Labeling Experience

Custom Dog/Cat Object Detection Dataset (Project)

Label StudioImageBounding Box

Curated and annotated a custom object detection dataset of pet images, focusing on dogs and cats, for model training purposes. Exported the datasets in YOLO format and validated model inference results for quality. The primary goal was to support high-accuracy custom pet detection models. • Collected and annotated custom pet imagery. • Formatted and exported datasets for YOLO training. • Validated inference outputs and improved label consistency. • Enhanced training pipelines for object detection models.

Curated and annotated a custom object detection dataset of pet images, focusing on dogs and cats, for model training purposes. Exported the datasets in YOLO format and validated model inference results for quality. The primary goal was to support high-accuracy custom pet detection models. • Collected and annotated custom pet imagery. • Formatted and exported datasets for YOLO training. • Validated inference outputs and improved label consistency. • Enhanced training pipelines for object detection models.

2024

Medical Image Annotation for AI Diagnostics (Project)

Label StudioMedical DicomBounding Box

Annotated X-ray images for medical AI diagnostics projects using bounding boxes and masks. Assisted in supporting YOLOv8 fine-tuning efforts and strengthened validation processes. Ensured all medical images were accurately labeled for high model performance. • Labeled medical images with bounding boxes and masks. • Contributed to YOLOv8 model fine-tuning with high validation accuracy. • Maintained strict standards for medical labeling compliance. • Improved reliability of AI models in diagnostic scenarios.

Annotated X-ray images for medical AI diagnostics projects using bounding boxes and masks. Assisted in supporting YOLOv8 fine-tuning efforts and strengthened validation processes. Ensured all medical images were accurately labeled for high model performance. • Labeled medical images with bounding boxes and masks. • Contributed to YOLOv8 model fine-tuning with high validation accuracy. • Maintained strict standards for medical labeling compliance. • Improved reliability of AI models in diagnostic scenarios.

2024

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