You will get Image Annotation, Dataset Annotation, image labeling for AI/ML
Project details
Image Annotation, Dataset Annotation, image labeling for AI/ML
Need accurate, scalable data annotation for object detection and multi-object tracking? I specialize in manual, frame-by-frame image annotation and image labeling to train computer vision models used in autonomous driving, surveillance, sports AI, and more. With expertise in data annotation workflows, I ensure ID consistency, pixel accuracy, and deliver high-quality annotations in formats like YOLO, COCO JSON, and VOC XML. Whether your project requires image labeling or custom image annotation, I provide production-ready datasets tailored to your specific requirements.
Services:
𝗜𝗺𝗮𝗴𝗲 𝗔𝗻𝗻𝗼𝘁𝗮𝘁𝗶𝗼𝗻 – Bounding Boxes, Polygon, Keypoints, Semantic Segmentation
𝐕𝐢𝐝𝐞𝐨 𝐀𝐧𝐧𝐨𝐭𝐚𝐭𝐢𝐨𝐧 – Frame Tracking, Action Recognition
𝗧𝗲𝘅𝘁 𝗔𝗻𝗻𝗼𝘁𝗮𝘁𝗶𝗼𝗻 – NER, Sentiment, Content Classification
Tools I Use: CVAT, V7, Supervisely, Label Studio, Roboflow, Makesense.ai
Formats: PNG Masks, COCO JSON, YOLOv8
I’m passionate in 𝗗𝗮𝘁𝗮 𝗔𝗻𝗻𝗼𝘁𝗮𝘁𝗶𝗼𝗻, 𝗢𝗯𝗷𝗲𝗰𝘁 𝗗𝗲𝘁𝗲𝗰𝘁𝗶𝗼𝗻, 𝗜𝗺𝗮𝗴𝗲 𝗦𝗲𝗴𝗺𝗲𝗻𝘁𝗮𝘁𝗶𝗼𝗻, 𝗜𝗺𝗮𝗴𝗲 𝗟𝗮𝗯𝗲𝗹𝗶𝗻𝗴, 𝗔𝗜 𝗧𝗿𝗮𝗶𝗻𝗶𝗻𝗴 (𝗥𝗼𝗯𝗼𝗙𝗹𝗼𝘄, 𝗖𝗩𝗔𝗧)
Need accurate, scalable data annotation for object detection and multi-object tracking? I specialize in manual, frame-by-frame image annotation and image labeling to train computer vision models used in autonomous driving, surveillance, sports AI, and more. With expertise in data annotation workflows, I ensure ID consistency, pixel accuracy, and deliver high-quality annotations in formats like YOLO, COCO JSON, and VOC XML. Whether your project requires image labeling or custom image annotation, I provide production-ready datasets tailored to your specific requirements.
Services:
𝗜𝗺𝗮𝗴𝗲 𝗔𝗻𝗻𝗼𝘁𝗮𝘁𝗶𝗼𝗻 – Bounding Boxes, Polygon, Keypoints, Semantic Segmentation
𝐕𝐢𝐝𝐞𝐨 𝐀𝐧𝐧𝐨𝐭𝐚𝐭𝐢𝐨𝐧 – Frame Tracking, Action Recognition
𝗧𝗲𝘅𝘁 𝗔𝗻𝗻𝗼𝘁𝗮𝘁𝗶𝗼𝗻 – NER, Sentiment, Content Classification
Tools I Use: CVAT, V7, Supervisely, Label Studio, Roboflow, Makesense.ai
Formats: PNG Masks, COCO JSON, YOLOv8
I’m passionate in 𝗗𝗮𝘁𝗮 𝗔𝗻𝗻𝗼𝘁𝗮𝘁𝗶𝗼𝗻, 𝗢𝗯𝗷𝗲𝗰𝘁 𝗗𝗲𝘁𝗲𝗰𝘁𝗶𝗼𝗻, 𝗜𝗺𝗮𝗴𝗲 𝗦𝗲𝗴𝗺𝗲𝗻𝘁𝗮𝘁𝗶𝗼𝗻, 𝗜𝗺𝗮𝗴𝗲 𝗟𝗮𝗯𝗲𝗹𝗶𝗻𝗴, 𝗔𝗜 𝗧𝗿𝗮𝗶𝗻𝗶𝗻𝗴 (𝗥𝗼𝗯𝗼𝗙𝗹𝗼𝘄, 𝗖𝗩𝗔𝗧)
Data Entry Type
Copy Paste, Data Cleansing, Document Conversion, Online Research, Word ProcessingData Entry Tool
Google Docs, Google Sheets, Medical Records Software, Microsoft Excel, Microsoft Office, Microsoft WordWhat's included
| Service Tiers |
Starter
$12
|
Standard
$24
|
Advanced
$40
|
|---|---|---|---|
| Delivery Time | 1 day | 2 days | 5 days |
Number of Revisions | 1 | 2 | 3 |
Number of Hours of Work | 4 | 6 | 7 |
Formatting & Clean Up | - | - | - |
Graph & Table Creation | - | - | - |
Frequently asked questions
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Muhammad did an excellent job annotating the images. He was faster than anyone else we have worked with, and the quality of his work was consistently high. I would certainly hire him again for future jobs.
About Muhammad Hasnain
AI Data Annotation Lead | Semantic & Instance Segmentation for Medical
100%
Job Success
Ahmadpur Sial, Pakistan - 1:47 am local time
Training a model on average data labeling fails at deployment. As an AI Data Annotation Lead, I specialize in production-ready data annotation and data labeling services that eliminate edge-case errors and accelerate your model's time-to-market.
With a 5.0/5 star track record, I provide high-precision semantic segmentation, instance segmentation, and object detection for demanding industries including autonomous driving (LiDAR), healthcare (DICOM), and AgTech.
Why top AI teams hire me for data annotation:
* Mastery of CVAT, Labelbox, Roboflow, and Label Studio for complex polygon and mask workflows
* Zero-defect quality control with inter-annotator agreement (IAA) checks for 99%+ accuracy in every data labeling batch
* Expert-level handling of 3D LiDAR point clouds, 3D cuboids, and medical imaging (MRI/CT/X-Ray)
* Experienced in RLHF for fine-tuning vision-language models
Technical specializations in data annotation:
* Semantic segmentation and instance segmentation using polygons, brushes, and Mask R-CNN
* 3D point cloud and LiDAR cuboid tracking for ADAS
* Object detection with high-speed bounding boxes for real-time tracking
* High-volume data labeling for computer vision models
Formats I deliver for every object detection and segmentation project:
YOLO (v8-v11), COCO JSON, Pascal VOC, XML, and CSV.
Industry experience with data annotation:
* Automotive: Lane detection, pedestrian intent, autonomous vehicle training using semantic segmentation
* Medical AI: Data labeling for MRI/CT scans with HIPAA-aware workflows
* Agriculture: Aerial mapping and crop health analysis using instance segmentation
I am reliable, detail-oriented, and ready to scale. Whether you need a pilot batch or a large-scale data annotation project, I ensure your data labeling is the strongest part of your pipeline.
Click "Message" to discuss your semantic segmentation, object detection, CVAT or data annotation project
Steps for completing your project
After purchasing the project, send requirements so Muhammad Hasnain can start the project.
Delivery time starts when Muhammad Hasnain receives requirements from you.
Muhammad Hasnain works on your project following the steps below.
Revisions may occur after the delivery date.
Project Steps
I will review your guidelines, create a sample annotation for approval, then manually label your full dataset using the required format. Final delivery will include QA-checked, consistent annotations with revisions if needed.