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Delikan Sapmaz

Delikan Sapmaz

Computer Vision Intern - Data Labeling for YOLOv8 Models

Turkey flagIstanbul, Turkey
$5.00/hrExpertRoboflowAws Sagemaker

Key Skills

Software

RoboflowRoboflow
AWS SageMakerAWS SageMaker

Top Subject Matter

Computer Vision
Image Recognition

Top Data Types

ImageImage
VideoVideo
TextText

Top Task Types

Object DetectionObject Detection
SegmentationSegmentation
ClassificationClassification
Data CollectionData Collection
Bounding BoxBounding Box

Freelancer Overview

Computer Vision Intern - Data Labeling for YOLOv8 Models. Brings 3+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Roboflow. Education includes Bachelor of Science, Gaziosmanpaşa University (2025) and Certificate, Miuul Bootcamp (2023). AI-training focus includes data types such as Image and labeling workflows including Object Detection.

ExpertEnglishTurkish

Labeling Experience

Roboflow

Computer Vision Intern - Data Labeling for YOLOv8 Models

RoboflowImageObject Detection
I labeled image data as part of my role as a Computer Vision Intern, focusing on preparing datasets for YOLOv8 model development. My main task was conducting data labeling using Roboflow, which enhanced my understanding of image annotation workflows. This experience solidified my practical skills in computer vision and cloud-based model training. • Labeled images with objects of interest to support model accuracy • Used bounding boxes and other relevant annotation techniques • Ensured high data quality and consistency through rigorous review • Utilized Roboflow for efficient and scalable labeling processes

I labeled image data as part of my role as a Computer Vision Intern, focusing on preparing datasets for YOLOv8 model development. My main task was conducting data labeling using Roboflow, which enhanced my understanding of image annotation workflows. This experience solidified my practical skills in computer vision and cloud-based model training. • Labeled images with objects of interest to support model accuracy • Used bounding boxes and other relevant annotation techniques • Ensured high data quality and consistency through rigorous review • Utilized Roboflow for efficient and scalable labeling processes

2024 - 2024

Education

G

Gaziosmanpaşa University

Bachelor of Science, Computer Engineering

Bachelor of Science
2020 - 2025
I

IBM

Professional Certificate, Data Science

Professional Certificate
2024 - 2024

Work History

B

Blue Potion

Data Backend Engineer

Istanbul
2025 - 2025
P

Petlas

Network System Intern

Istanbul
2024 - 2024