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Khaled Alabed Alall

AI Training and Annotation for Object Detection

JORDAN flag
Irbid, Jordan
$20.00/hrEntry LevelOpencv AI Kit OakOther

Key Skills

Software

OpenCV AI Kit (OAK)OpenCV AI Kit (OAK)
Other

Top Subject Matter

Industrial/Mechanical Engineering
Ar Domain Expertise
Packaging Machinery

Top Data Types

ImageImage
VideoVideo

Top Task Types

Object Detection
Bounding Box
Classification
Fine Tuning
Data Collection

Freelancer Overview

AI Training and Annotation for Object Detection. Brings 4+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Unity Engine. Education includes Bachelor of Science, Technical University of Munich (2022) and University Preparation Program Certificate, Studienkolleg Munich (2015). AI-training focus includes data types such as Image and labeling workflows including Object Detection.

Entry LevelArabicGermanEnglish

Labeling Experience

AI Training and Annotation for Object Detection

ImageObject Detection
I created software for training artificial intelligence using both real and synthetic image data, focusing on object recognition. The work involved constructing AR demonstrators for machine component identification and integrating these trained models into operational workflows. My tasks included curating datasets, defining annotation standards, and ensuring accurate detection capabilities. • Developed datasets of machine component images for object detection training. • Annotated images to implement supervised learning for component recognition. • Utilized Unity Engine and AR platforms to validate model performance on real devices. • Evaluated recognition accuracy and refined labeling to improve results.

I created software for training artificial intelligence using both real and synthetic image data, focusing on object recognition. The work involved constructing AR demonstrators for machine component identification and integrating these trained models into operational workflows. My tasks included curating datasets, defining annotation standards, and ensuring accurate detection capabilities. • Developed datasets of machine component images for object detection training. • Annotated images to implement supervised learning for component recognition. • Utilized Unity Engine and AR platforms to validate model performance on real devices. • Evaluated recognition accuracy and refined labeling to improve results.

2023 - 2024

Education

T

Technical University of Munich

Bachelor of Science, Engineering Science

Bachelor of Science
2018 - 2022
S

Studienkolleg Munich

University Preparation Program Certificate, Science and Technology (T-Kurs)

University Preparation Program Certificate
2014 - 2015

Work History

N

N/A

Career Break

Irbid
2024 - Present
S

Syntegon Technology

AR and AI Pre-Master Trainee

Waiblingen
2023 - 2024