You will get Custom Data Annotation, Image Annotation, Object detection & Segmentation
Project details
Build AI models with high-quality Data Annotation, Image Annotation, Video Annotation, Data Labeling, and Computer Vision datasets. I help AI startups, research labs, and enterprises create scalable training datasets with precise annotations and rigorous quality assurance.
Services
• Image Annotation & Video Annotation
• Bounding Box Annotation, Polygon Annotation, Polyline & Cuboid Annotation
• Semantic Segmentation Masks & Instance Segmentation
• Keypoint & Landmark Annotation
• Multi Object Tracking (MOT) & Object Tracking
• OCR, Classification & AI Training Dataset Preparation
Tools & Formats
• CVAT, Roboflow, Labelbox, Supervisely, SuperAnnotate, LabelImg & LabelMe
• YOLO, COCO JSON, custom formats
Dataset QA & Management
• Dataset Preparation & Cleaning
• Annotation Review & Quality Assurance (QA)
• Dataset Validation & Verification
• Scalable, Production-Ready Datasets
Industries: Autonomous Driving, Medical Imaging, Retail, Agriculture, Drone, Satellite, Manufacturing, Security, Robotics.
Custom Annotation: Tailored annotation workflows to meet requirements, regardless complexity.
Let's build high-quality AI training datasets. Feel free to reach out to discuss project.
Services
• Image Annotation & Video Annotation
• Bounding Box Annotation, Polygon Annotation, Polyline & Cuboid Annotation
• Semantic Segmentation Masks & Instance Segmentation
• Keypoint & Landmark Annotation
• Multi Object Tracking (MOT) & Object Tracking
• OCR, Classification & AI Training Dataset Preparation
Tools & Formats
• CVAT, Roboflow, Labelbox, Supervisely, SuperAnnotate, LabelImg & LabelMe
• YOLO, COCO JSON, custom formats
Dataset QA & Management
• Dataset Preparation & Cleaning
• Annotation Review & Quality Assurance (QA)
• Dataset Validation & Verification
• Scalable, Production-Ready Datasets
Industries: Autonomous Driving, Medical Imaging, Retail, Agriculture, Drone, Satellite, Manufacturing, Security, Robotics.
Custom Annotation: Tailored annotation workflows to meet requirements, regardless complexity.
Let's build high-quality AI training datasets. Feel free to reach out to discuss project.
Data Entry Type
Copy Paste, Data Cleansing, Error Detection, Online ResearchData Entry Tool
CRM Software, ERP Software, Google Docs, Google Sheets, Microsoft Excel, Microsoft OfficeWhat's included
| Service Tiers |
Starter
$42
|
Standard
$70
|
Advanced
$280
|
|---|---|---|---|
| Delivery Time | 2 days | 3 days | 7 days |
Number of Revisions | 2 | 3 | 4 |
Number of Hours of Work | 6 | 10 | 40 |
Formatting & Clean Up | - | - | - |
Graph & Table Creation | - | - | - |
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MA
Mr Ali A.
Jul 7, 2026
Computer Vision Data Annotation & Dataset QA Specialist
Excellent experience working with this freelancer. They delivered accurate, high-quality computer vision data annotation and dataset QA on time while following all project guidelines. Communication was professional, and the final dataset met our expectations with minimal revisions. I highly recommend them for image annotation, medical imaging, object detection, segmentation, and AI training data projects, and would gladly work with them again.
About M Zahid
Computer Vision Engineer | AI Data Annotation | Image & Video Labeling
Bahawalpur, Pakistan - 12:46 am local time
Looking for accurate AI training datasets to improve your AI and Computer Vision models?
I help businesses, AI startups, and research teams build high-quality AI datasets through manual, precise Data Annotation, Image Labeling, Video Annotation, Medical Imaging, Medical Image Annotation. My focus is on delivering consistent, production-ready annotations that maximize model accuracy and reduce training errors. I will help you create datasets for real-world applications such as machine learning, Medical Imaging, Healthcare, Medical Image Annotations, computer vision, object detection, Object Tracking, Pose Estimation, semantic segmentation, Image Recognition, and Facial Recognition. Medical Images annotations for MRI, CT Scan, X-Ray, Ultrasound, Histopathology, Retinal, DICOM, and Radiology images.
My Services
🗸 Object Detection (Bounding Boxes)
🗸 Semantic Segmentation Masks & Instance Segmentation
🗸 Polygon Annotation & Polyline Annotation
🗸 Video Annotation
🗸 Pose Estimation & Keypoint Annotation
🗸 Medical Image Annotation (MRI, CT, X-Ray, Ultrasound, DICOM, Histopathology)
🗸 LiDAR & 3D Point Cloud Annotation
🗸 Text Annotation, NLP & LLM Data Labeling
🗸 Dataset Validation & Quality Assurance (QA)
Annotation Tools
🗸 CVAT • Label Studio • Labelbox • Roboflow • Supervisely • V7 Darwin • LabelImg • MakeSense.ai • VIA
Supported Formats
🗸 YOLO • COCO • Pascal VOC • JSON • XML • Segmentation Masks • DICOM • TensorFlow TFRecord • Custom Formats
Industries
🗸 Autonomous Driving (ADAS) • Healthcare & Medical Imaging • Retail • Agriculture • Satellite & Aerial Imagery • Robotics • Security & Surveillance
Why Work With Me?
🗸 100% Manual & High-Quality Annotation
🗸 Consistent Labeling for Large-Scale Datasets
🗸 Pixel-Accurate Segmentation Masks
🗸 Strong QA Process with Attention to Detail
🗸 Reliable Communication & Long-Term Collaboration
Whether you need Computer Vision datasets, Image Annotation, Video Labeling, Semantic Segmentation, Medical Image Labeling, or AI Training Data Preparation, I'm committed to delivering accurate, scalable, and model-ready datasets that help your AI solutions perform at their best.
I don't just label data — I deliver production-ready data annotation and image annotation datasets that give your AI and computer vision models a real competitive edge.
Message me today for a free consultation to discuss your data labeling, semantic segmentation, object detection, or video annotation needs. Let's build something powerful together.
Steps for completing your project
After purchasing the project, send requirements so M Zahid can start the project.
Delivery time starts when M Zahid receives requirements from you.
M Zahid works on your project following the steps below.
Revisions may occur after the delivery date.
Workflow
I’ll carefully review your instructions, complete a sample annotation for approval, and then annotate the entire dataset. Every annotation will be quality-checked for accuracy before final delivery, with revisions included if required.