You will get Object Detection Annotation – Bounding Box Labeling with High Accuracy
Project details
I offer high-quality image and video annotation services using tools like Supervisely, Labelbox, and V7 Darwin. With over 3.5 years of experience, I ensure pixel-perfect accuracy and follow strict QC standards. Whether it’s bounding boxes, polygons, keypoints, or segmentation, I deliver clean, well-structured datasets ready for AI/ML training. Fast delivery, reliable communication, and attention to detail set my work apart.
In this specific project, I worked on annotating dice objects in images — ensuring accurate labeling for computer vision training and validation datasets.
In this specific project, I worked on annotating dice objects in images — ensuring accurate labeling for computer vision training and validation datasets.
Machine Learning Tools
Amazon SageMaker, ChatGPTWhat's included
| Service Tiers |
Starter
$10
|
Standard
$25
|
Advanced
$50
|
|---|---|---|---|
| Delivery Time | 2 days | 3 days | 4 days |
Number of Revisions | 0 | 0 | 0 |
Model Validation/Testing | - | - | - |
Model Documentation | - | - | - |
Data Source Connectivity | - | - | - |
Source Code | - | - | - |
Frequently asked questions
About Sabir
Data Annotation & Quality Control Expert | Video, Medical, Autonomous
Noida, India - 7:56 am local time
Hi, I’m Sabir Ali 👋
I help AI & ML teams build reliable training datasets through high-accuracy annotation and quality control. With 3+ years of experience and over 100 successful projects, I specialize in delivering QC-checked, production-ready data that saves clients time, cost, and rework.
🏆 What I Do Best
Video Action Labeling – Frame-by-frame precision for activity recognition & sports AI.
Autonomous Driving Datasets – Lane markings, vehicles, pedestrians, and road elements.
Medical & Research Annotation – Specialized labeling for diagnostic & research use.
Data QC & Pilot Projects – Ensuring consistent accuracy before full-scale deployment.
🛠 Tools I Work With
CVAT, Supervisely, Labelbox, V7 Darwin, AWS Sagemaker, Dataloop
✅ Why Clients Choose Me
Accuracy & consistency in every dataset
End-to-end quality checks
Ability to handle large-scale projects (with a small trained team, if needed)
Flexible & fast communication
🔑 Key Expertise
Bounding Boxes, Polygons, Semantic Segmentation
3D Cuboids, Keypoints, Lines & Splines
Text, Image & Audio Classification
Data Preprocessing & QC Reports
If you need a reliable data annotation partner who goes beyond clicking boxes and delivers scalable, error-free datasets, let’s connect. I can also do a short paid test task to prove my quality before full engagement.
Steps for completing your project
After purchasing the project, send requirements so Sabir can start the project.
Delivery time starts when Sabir receives requirements from you.
Sabir works on your project following the steps below.
Revisions may occur after the delivery date.
Review project instructions and dataset
I’ll carefully review the files and labeling guidelines provided to fully understand the scope and requirements.
Set up annotation environment
I’ll organize the dataset in Supervisely (or any requested tool) and prepare for structured annotation.