You will get Image Annotation for Object Detection, Image Segmentation & AI Training
Project details
Precision Data Annotation/Image Annotation for Production-Ready AI & Computer Vision Models
Build high-quality AI models with accurate and reliable Data Annotation, Image Labeling, Object Detection, Segmentation, and Computer Vision Datasets. I specialize to create training datasets for AI, Computer Vision, Machine Learning, Deep Learning, YOLO, Autonomous Driving, Medical Imaging, Drone Imagery, Quality Inspection, Retail, and Industrial AI applications.
Services
🖼️ Image & Video Annotation
• Image Labeling: Bounding Boxes, Polygons, Polylines, Semantic/Instance Segmentation Masks
• Video Tracking: Frame-by-Frame Video Annotation, Multi-Object Tracking (MOT), Action Recognition
• Inventory products annotation
• E-Commerce images annotations
• AI Training Dataset Preparation
Tool: CVAT, Roboflow, Labelbox, Supervisely, LabelImg, LabelMe
Formats: YOLO TXT, COCO JSON, Pascal
✓ Dataset Management & Quality Assurance
• Dataset Preparation
• Dataset Cleaning Verification
• Quality Assurance (QA)
• Annotation Review
Image Annotation, video annotation, data annotation, data labelling, medical imaging, segmentation masks, object tracking, AI training data, dataset preparation.
Build high-quality AI models with accurate and reliable Data Annotation, Image Labeling, Object Detection, Segmentation, and Computer Vision Datasets. I specialize to create training datasets for AI, Computer Vision, Machine Learning, Deep Learning, YOLO, Autonomous Driving, Medical Imaging, Drone Imagery, Quality Inspection, Retail, and Industrial AI applications.
Services
🖼️ Image & Video Annotation
• Image Labeling: Bounding Boxes, Polygons, Polylines, Semantic/Instance Segmentation Masks
• Video Tracking: Frame-by-Frame Video Annotation, Multi-Object Tracking (MOT), Action Recognition
• Inventory products annotation
• E-Commerce images annotations
• AI Training Dataset Preparation
Tool: CVAT, Roboflow, Labelbox, Supervisely, LabelImg, LabelMe
Formats: YOLO TXT, COCO JSON, Pascal
✓ Dataset Management & Quality Assurance
• Dataset Preparation
• Dataset Cleaning Verification
• Quality Assurance (QA)
• Annotation Review
Image Annotation, video annotation, data annotation, data labelling, medical imaging, segmentation masks, object tracking, AI training data, dataset preparation.
Machine Learning Tools
OpenCV, Python, PyTorch, TensorFlowWhat's included
| Service Tiers |
Starter
$40
|
Standard
$80
|
Advanced
$150
|
|---|---|---|---|
| Delivery Time | 2 days | 4 days | 6 days |
Number of Revisions | 2 | 4 | 6 |
Model Validation/Testing | - | - | - |
Model Documentation | - | - | - |
Data Source Connectivity | - | - | - |
Source Code | - | - | - |
About Abdul
Data Annotation Expert | Image & Video Annotation | Computer Vision AI
Islamabad, Pakistan - 4:05 am local time
If your Computer Vision or Machine Learning model is only as good as its training data — you need an annotation specialist who delivers accuracy, consistency, and scale. I specialize in building high-quality ground truth datasets using CVAT, Roboflow, Supervisely, and Labelbox to boost your model's mAP and IoU performance.
I am a dedicated Data Annotation & Computer Vision specialist with hands-on expertise across thousands of annotated images and video frames (image annotation, video annotation, data labelling, data annotation). I work with leading annotation platforms — CVAT, Roboflow, Supervisely, Labelbox, SuperAnnotate, and V7 Darwin — to deliver clean, structured, and model-ready datasets that power real-world AI applications.
Whether you're building object detection pipelines, training semantic segmentation models, developing autonomous systems, or preparing medical imaging datasets, I provide annotation work that is precise, scalable, and production-ready.
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🖼️ IMAGE ANNOTATION SERVICES
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✔ Bounding Box Annotation (2D & 3D)
✔ Polygon & Polyline Annotation
✔ Semantic Segmentation & Instance Segmentation Masks
✔ Keypoint & Landmark Annotation
✔ Pose Estimation & Skeleton Annotation
✔ Facial Landmark Detection
✔ Image Classification & Tagging
✔ Object Detection Dataset Creation
✔ Medical Image Annotation & Medical Image Labeling
✔ Medical Imaging, Medical Image Segmentation
✔ 2D/3D Point Cloud Annotation
✔ LiDAR Annotation (Cuboids, Segmentation, Keypoints)
✔ LLM Data Annotator, NLP Data Labeler, Text Annotation Expert
✔ Dataset Validation & Quality Assurance (QA)
✔ AI Training Data Preparation
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🎬 VIDEO ANNOTATION & TRACKING
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✔ Frame-by-Frame Video Annotation
✔ Multi-Object Tracking (MOT)
✔ Object Tracking & Trajectory Labeling
✔ Action Recognition & Activity Detection
✔ Human & Vehicle Tracking
✔ Sports Analytics Annotation
✔ Surveillance & Security Video Labeling
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🛠️ ANNOTATION TOOLS & PLATFORMS
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✔ CVAT (Computer Vision Annotation Tool), Roboflow, Supervisely, Labelbox, SuperAnnotate, V7 Darwin, LabelImg / LabelMe
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📁 OUTPUT FORMATS SUPPORTED
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✔ COCO JSON
✔ YOLO TXT (v5, v8, v11)
✔ Pascal VOC XML
✔ JSON / JSONL, DICOM
✔ CSV / Excel
✔ Custom client-defined formats
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🏥 SPECIALIZED DOMAINS
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✔ Medical Image Annotation (X-rays, MRI, CT Scans, Pathology Slides)
✔ Autonomous Vehicles & ADAS Datasets
✔ Retail & E-commerce Product Annotation
✔ Drone & Satellite Imagery (Agriculture, Urban Planning)
✔ Security & Surveillance Systems
✔ Robotics & Industrial Automation
✔ Sports Analytics & Biomechanics
✔ Manufacturing & Quality Control
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📊 DATASET MANAGEMENT & QA
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✔ Ground Truth Dataset Creation
✔ Dataset Cleaning & Deduplication
✔ Quality Assurance (QA) & Review
✔ Annotation Consistency Checks
✔ Train/Val/Test Split Preparation
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✅ WHY CLIENTS CHOOSE ME
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✔ Experience with large-scale, multi-class datasets
✔ Deep understanding of YOLO, COCO, and VOC standards
✔ NDA-friendly — your data stays confidential
✔ Long-term collaboration
✔ Flexible to custom workflows
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I have worked with AI startups, computer vision research teams, and enterprise clients across healthcare, automotive, agriculture, and retail — delivering datasets that directly improve model mAP, IoU, and overall detection performance.
If you're looking for a reliable, detail-oriented, and experienced Data Annotation Specialist who understands the full Computer Vision pipeline (object detection, object tracking, semantic segmentation, image segmentation, image processing, YOLO etc) — from raw data to a clean, labeled, model-ready dataset — let's connect.
📩 Send me a message, share your dataset requirements, and let's build training data that makes your AI model perform.
📩 Click "Invite to Job" or send me a message with your dataset requirements. Let's build training data that makes your AI model perform!
Steps for completing your project
After purchasing the project, send requirements so Abdul can start the project.
Delivery time starts when Abdul receives requirements from you.
Abdul works on your project following the steps below.
Revisions may occur after the delivery date.
All Steps
1. Requirement Analysis – Review project scope, classes, guidelines, format. 2. Data Annotation – Perform accurate labeling and annotation. 3. Quality Assurance – Verify all annotations. 4. Final Delivery – Deliver files, revisions if needed.