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Foad Yasser

Foad Yasser

Computer Vision & AI Data Annotation Specialist

EGYPT flag
mansoura, Egypt
$15.00/hrEntry LevelLabelimgClickworkerCVAT

Key Skills

Software

LabelImgLabelImg
ClickworkerClickworker
CVATCVAT
Other

Top Subject Matter

Computer Vision / AI – Object Detection & Image Annotation
Finance – Risk Analysis & Fraud Detection
Technology – Software / Cybersecurity

Top Data Types

Computer Code ProgrammingComputer Code Programming
ImageImage
DocumentDocument

Top Task Types

Bounding Box
Polygon
Segmentation
Classification
Object Detection
Computer Programming Coding

Freelancer Overview

I am a Computer Science graduate with a strong technical background in Cybersecurity and Computer Vision. I have hands-on experience working with YOLOv8 for object detection and image annotation tasks, including preparing and labeling datasets for training AI models. I am skilled in data analysis, attention to detail, and working with structured data such as JSON and APIs. My experience in penetration testing also gives me a strong understanding of data accuracy, validation, and quality control. I am highly committed to delivering precise and consistent annotations following project guidelines.

Entry LevelArabicEnglish

Labeling Experience

YOLOv8 Image Annotation for Object Detection

ImageBounding Box
Worked on image annotation and dataset preparation for object detection using YOLOv8. The project involved labeling objects in images using bounding boxes with high accuracy and consistency. Ensured correct annotation of objects under different conditions such as motion blur, lighting variations, and different angles. Followed strict annotation guidelines to maintain data quality for training AI models. Used annotation concepts similar to tools like CVAT and focused on producing structured and clean datasets suitable for machine learning workflows.

Worked on image annotation and dataset preparation for object detection using YOLOv8. The project involved labeling objects in images using bounding boxes with high accuracy and consistency. Ensured correct annotation of objects under different conditions such as motion blur, lighting variations, and different angles. Followed strict annotation guidelines to maintain data quality for training AI models. Used annotation concepts similar to tools like CVAT and focused on producing structured and clean datasets suitable for machine learning workflows.

2025 - 2025

Education

M

Mansoura University

Bachelor of Science, Computer Science

Bachelor of Science
2021 - 2025

Work History

N

National Telecommunication Institute

Penetration Testing Intern

N/A
2023 - 2023