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Ismail Rahman

Ismail Rahman

AI Data Annotator | Image & Video Labeling | Computer vision | High-Accuracy AI Training Data | Enterprise-Ready Data Labeling

ANGOLA flag
Depok, Angola
$3.00/hrExpertCVATImeritAppen

Key Skills

Software

CVATCVAT
iMeritiMerit
AppenAppen
ClickworkerClickworker
CloudFactoryCloudFactory
Data Annotation TechData Annotation Tech
LabelboxLabelbox
LabelImgLabelImg
Label StudioLabel Studio
LionbridgeLionbridge
MercorMercor
Micro1
OneFormaOneForma
OpenCV AI Kit (OAK)OpenCV AI Kit (OAK)
RemotasksRemotasks
RoboflowRoboflow
SamaSama
Scale AIScale AI
SuperAnnotateSuperAnnotate
TolokaToloka
TelusTelus
V7 LabsV7 Labs

Top Subject Matter

Computer Vision & Image Recognition
Autonomous Vehicles & Traffic Object Detection
Human Activity & Sports Video Analysis

Top Data Types

VideoVideo
ImageImage
DocumentDocument

Top Label Types

Polygon
Bounding Box
Segmentation
Object Detection
Point Key Point
Classification
Computer Programming Coding

Freelancer Overview

I am a detail-oriented data annotator with extensive experience in image and video labeling for AI training data, particularly in computer vision projects. I have consistently maintained 97–100% accuracy by applying strict quality control, validation, and reporting processes. My expertise includes using CVAT for polygon annotation, bounding box labeling, and single-object segmentation, ensuring high-precision results across large-scale datasets. I am highly skilled in data entry, spreadsheet reporting with Excel and Google Sheets, and always adhere to project guidelines and deadlines. My commitment to quality and efficiency allows me to deliver enterprise-ready data labeling solutions that support robust AI model development.

ExpertEnglishIndonesian

Labeling Experience

CVAT

Object Detection, Tracking & Dataset Annotation Services

CVATVideoPoint Key Point
Professional AI Data Annotation and Computer Vision services for image and video datasets. Specialized in: • Bounding Box • Polygon & Segmentation • Keypoints & Pose Estimation • Multi-Object Tracking • Video Annotation Experienced with YOLO and COCO formats. Focused on accuracy, consistency, and fast turnaround to support high-performance AI model training. Available for freelance and long-term collaboration.

Professional AI Data Annotation and Computer Vision services for image and video datasets. Specialized in: • Bounding Box • Polygon & Segmentation • Keypoints & Pose Estimation • Multi-Object Tracking • Video Annotation Experienced with YOLO and COCO formats. Focused on accuracy, consistency, and fast turnaround to support high-performance AI model training. Available for freelance and long-term collaboration.

2025 - 2025
CVAT

Object Detection & Tracking Annotation Expert | Fast & Pre

CVATVideoObject Detection
Professional AI Data Annotation Specialist for Computer Vision projects. Providing high-accuracy image & video labeling: Bounding Box, Polygon, Segmentation, Keypoints, and Object Tracking. Experienced with YOLO & COCO formats. Fast turnaround, consistent quality, and enterprise-ready workflow. Let’s build reliable AI training datasets for better model performance.

Professional AI Data Annotation Specialist for Computer Vision projects. Providing high-accuracy image & video labeling: Bounding Box, Polygon, Segmentation, Keypoints, and Object Tracking. Experienced with YOLO & COCO formats. Fast turnaround, consistent quality, and enterprise-ready workflow. Let’s build reliable AI training datasets for better model performance.

2025 - 2025
CVAT

Car Object Detection (Bounding Box)

CVATVideoObject Detection
Example of AI video annotation for computer vision projects. This sample demonstrates accurate bounding box labeling on moving vehicles (car) using CVAT. Annotation type: Bounding box Object: Car Use case: Object detection for AI/ML model training Tool: CVAT This workflow is suitable for enterprise AI datasets, autonomous driving research, traffic analytics, and computer vision applications, ensuring consistent labeling quality and dataset readiness for model training.

Example of AI video annotation for computer vision projects. This sample demonstrates accurate bounding box labeling on moving vehicles (car) using CVAT. Annotation type: Bounding box Object: Car Use case: Object detection for AI/ML model training Tool: CVAT This workflow is suitable for enterprise AI datasets, autonomous driving research, traffic analytics, and computer vision applications, ensuring consistent labeling quality and dataset readiness for model training.

2025 - 2025
CVAT

Basketball Polygon Segmentation

CVATImageSegmentation
Example of AI video annotation for computer vision projects. This sample demonstrates precise polygon labeling on a moving object (basketball) using CVAT. Annotation type: Polygon Object: Basketball Use case: Object detection and segmentation for AI/ML model training Tool: CVAT This workflow is suitable for enterprise AI datasets, sports analytics applications, and advanced computer vision systems, ensuring accurate object boundaries and high-quality training data.

Example of AI video annotation for computer vision projects. This sample demonstrates precise polygon labeling on a moving object (basketball) using CVAT. Annotation type: Polygon Object: Basketball Use case: Object detection and segmentation for AI/ML model training Tool: CVAT This workflow is suitable for enterprise AI datasets, sports analytics applications, and advanced computer vision systems, ensuring accurate object boundaries and high-quality training data.

2025 - 2025
CVAT

Bird Object Detection (Bounding Box)

CVATImageBounding Box
Example of AI video annotation for computer vision projects. This sample demonstrates accurate bounding box labeling on moving objects (bird) using CVAT. Annotation type: Bounding box Object: Bird Use case: Object detection for AI/ML model training Tool: CVAT This workflow is suitable for enterprise AI datasets, robotics, and computer vision applications, ensuring consistent labeling quality and dataset readiness for model training.

Example of AI video annotation for computer vision projects. This sample demonstrates accurate bounding box labeling on moving objects (bird) using CVAT. Annotation type: Bounding box Object: Bird Use case: Object detection for AI/ML model training Tool: CVAT This workflow is suitable for enterprise AI datasets, robotics, and computer vision applications, ensuring consistent labeling quality and dataset readiness for model training.

2025 - 2025

Education

U

Universitas Terbuka

Bachelor’s Degree , Information Systems

Bachelor’s Degree
2023 - 2026
H

High School Muhammadiyah 4 Depok

High School, Science Major (IPA)

High School
2019 - 2022

Work History

S

Spheron GmbH

DATA ANNOTATION

Münster, North Rhine-Westphalia
2025 - Present
B

BrandBridge

DATA ANNOTATiON

New York
2022 - 2023