You will get Data Annotation and Bounding Box Labeling for AI Models
Project details
Transform your raw data into high-performance training sets. I provide expert data annotation and semantic segmentation designed for robust model deployment.
Smart City & Parking Specialization:
As shown in my gallery—featuring precise bounding box annotations for smart parking systems—I specialize in high-density vehicle tracking and localization. I ensure tight, pixel-accurate boxes that eliminate background noise, helping your model achieve higher mAP scores in real-world environments.
My Expert Services:
Object Detection: Accurate 2D/3D Bounding Boxes for vehicles and pedestrians.
Segmentation: Pixel-perfect Semantic and Instance Segmentation masks.
Autonomous Navigation: Lane and road mapping with polyline annotation.
Human Pose: Keypoint and landmarking for gesture/facial recognition.
Video Tracking: Consistent ID tagging across multiple frames.
Tools & Workflows:
Platforms: CVAT, Label Studio, V7, Supervisely, Roboflow.
Exports: YOLO (v8/v11), COCO, Pascal VOC, JSON, XML.
Ready to scale your dataset?
#DataAnnotation #ImageLabeling #ImageAnnotation #SemanticSegmentation #InstanceSegmentation #VideoAnnotation #BoundingBox #YOLO #CVAT #Roboflow
Smart City & Parking Specialization:
As shown in my gallery—featuring precise bounding box annotations for smart parking systems—I specialize in high-density vehicle tracking and localization. I ensure tight, pixel-accurate boxes that eliminate background noise, helping your model achieve higher mAP scores in real-world environments.
My Expert Services:
Object Detection: Accurate 2D/3D Bounding Boxes for vehicles and pedestrians.
Segmentation: Pixel-perfect Semantic and Instance Segmentation masks.
Autonomous Navigation: Lane and road mapping with polyline annotation.
Human Pose: Keypoint and landmarking for gesture/facial recognition.
Video Tracking: Consistent ID tagging across multiple frames.
Tools & Workflows:
Platforms: CVAT, Label Studio, V7, Supervisely, Roboflow.
Exports: YOLO (v8/v11), COCO, Pascal VOC, JSON, XML.
Ready to scale your dataset?
#DataAnnotation #ImageLabeling #ImageAnnotation #SemanticSegmentation #InstanceSegmentation #VideoAnnotation #BoundingBox #YOLO #CVAT #Roboflow
Data Entry Type
Copy Paste, Data Cleansing, Document Conversion, Error Detection, Online Research, Word ProcessingData Entry Tool
Google Docs, Google Sheets, Medical Records Software, Microsoft Excel, Microsoft Office, Microsoft WordWhat's included
| Service Tiers |
Starter
$10
|
Standard
$30
|
Advanced
$55
|
|---|---|---|---|
| Delivery Time | 1 day | 2 days | 3 days |
Number of Revisions | 2 | 3 | 4 |
Number of Hours of Work | 10 | 20 | 40 |
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 - 6:34 pm 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.