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Osman Tuncel

Osman Tuncel

Object Detection and Annotation

Turkey flagAnkara, Turkey
$10.00/hrExpertOpencv AI Kit OakAppenClickworker

Key Skills

Software

OpenCV AI Kit (OAK)OpenCV AI Kit (OAK)
AppenAppen
ClickworkerClickworker
CVATCVAT
LabelboxLabelbox
LabelImgLabelImg
Label StudioLabel Studio
MercorMercor
RemotasksRemotasks
RoboflowRoboflow
TelusTelus

Top Subject Matter

Defense Domain Expertise
Military Target Identification
Real-Time Image Processing

Top Data Types

ImageImage
TextText
DocumentDocument

Top Task Types

Object Detection
Bounding Box
Polygon
Segmentation
Classification
Text Generation
Question Answering
Text Summarization
Fine Tuning
Transcription
Evaluation Rating
Computer Programming Coding
Prompt Response Writing SFT

Freelancer Overview

AI-Powered Image Object Detection and Annotation for Defense Systems. Brings 5+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include OpenCV AI Kit (OAK), YOLO and COCO dataset annotation and model training. Education includes Bachelor of Science, Selcuk University (2015). AI-training focus includes data types such as Image and labeling workflows including Object Detection.

ExpertEnglishGermanSpanish

Labeling Experience

OpenCV AI Kit (OAK)

AI-Powered Image Object Detection and Annotation for Defense Systems

Opencv AI Kit OakImageObject Detection
As part of a defense industry project, I worked on integrating high-resolution cameras and AI-powered image processing algorithms into cruise missiles and UAVs. My role involved utilizing OpenCV and CNN-based YOLO models to enable real-time detection of military and civilian objects. The labeling tasks centered on training and validating object detection within these systems using annotated images collected from embedded hardware. • Labeled and annotated images for object detection using bounding boxes • Worked with Python and OpenCV library for image processing • Participated in AI model training and validation cycles • Focused on defense and real-time object detection applications.

As part of a defense industry project, I worked on integrating high-resolution cameras and AI-powered image processing algorithms into cruise missiles and UAVs. My role involved utilizing OpenCV and CNN-based YOLO models to enable real-time detection of military and civilian objects. The labeling tasks centered on training and validating object detection within these systems using annotated images collected from embedded hardware. • Labeled and annotated images for object detection using bounding boxes • Worked with Python and OpenCV library for image processing • Participated in AI model training and validation cycles • Focused on defense and real-time object detection applications.

2024 - Present

Education

S

Selcuk University

Bachelor of Science, Chemical Engineering

Bachelor of Science
2010 - 2015

Work History

S

Silopi Elektrik

Occupational Health and Safety Specialist

Silopi
2023 - 2025
M

Matriks Kimya

Research and Development Engineer

Ankara
2021 - 2023