You will get Image Annotation (Bounding Box & Polygon)
Project details
I will provide high-quality image annotation for your AI/ML models using Bounding Box or Polygon tools.
My trained team ensures accurate, consistent, and clean labeling for any dataset size, from small test sets to large-scale production datasets.
We follow your guidelines exactly — class names, edge cases, folder structure, and export format (YOLO, COCO, CVAT XML/JSON).
Each dataset passes through multi-step quality control to ensure top-quality results.
Ideal for: Object detection, computer vision models, dataset preparation, AI/ML training data.
My trained team ensures accurate, consistent, and clean labeling for any dataset size, from small test sets to large-scale production datasets.
We follow your guidelines exactly — class names, edge cases, folder structure, and export format (YOLO, COCO, CVAT XML/JSON).
Each dataset passes through multi-step quality control to ensure top-quality results.
Ideal for: Object detection, computer vision models, dataset preparation, AI/ML training data.
What's included
| Service Tiers |
Starter
$25
|
Standard
$85
|
Advanced
$170
|
|---|---|---|---|
| Delivery Time | 1 day | 5 days | 7 days |
Number of Revisions | Unlimited | Unlimited | Unlimited |
Number of Model Variations | 0 | ||
Model Validation/Testing | - | - | - |
Model Documentation | - | - | - |
Data Source Connectivity | - | - | - |
Source Code | - | - | - |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$25 - $40About Razia
Data Annotation Expert for AI/ML | Large-Scale Image Labeling |
Dhaka, Bangladesh - 11:12 pm local time
For the last few years, I’ve been providing high-quality image annotation services for AI/ML companies, startups, and research teams.
My team and I work with industry-standard tools such as:
CVAT
Supervisely
Labelbox
V7
Roboflow
Client-provided custom tools
YOLO / COCO format support
We specialize in:
Object Detection (BBox, rotated boxes)
Semantic Segmentation (polygon, polyline, mask)
Instance Segmentation
Keypoint Annotation (pose, facial landmarks)
Image Classification
Attribute Tagging
Dataset organization, cleaning & formatting
Hi, I’m Antor — a Data Annotation Specialist with a trained in-house team capable of handling small to extremely large annotation projects with accuracy, consistency, and fast delivery.
For the last few years, I’ve been providing high-quality image annotation services for AI/ML companies, startups, and research teams.
My team and I work with industry-standard tools such as:
CVAT
Supervisely
Labelbox
V7
Roboflow
Client-provided custom tools
YOLO / COCO format support
We specialize in:
Object Detection (BBox, rotated boxes)
Semantic Segmentation (polygon, polyline, mask)
Instance Segmentation
Keypoint Annotation (pose, facial landmarks)
Image Classification
Attribute Tagging
Dataset organization, cleaning & formatting
Why clients choose to work with me & my team
A Trained Team of Annotators
I work with a skilled annotation team (trained in-house) who can scale the project capacity anytime.
Consistent Quality
Every dataset passes through multi-step QC (quality check) to maintain accuracy.
Fast & Large-Scale Delivery
We can deliver thousands of images per day depending on complexity.
Flexible With Tools & Guidelines
We follow your instructions exactly — labeling rules, naming rules, folder structure, and exporting formats.
100% Confidential & Secure Workflow
All files remain private and protected.
Services I Deliver
Image Annotation (BBox/Polygon)
Segmentation (Instance & Semantic)
Keypoint / Landmark annotation
Image classification
Tool-based custom annotation
YOLO & COCO conversion
Dataset cleanup & organization
Large team-based projects
Let’s Work Together
If you're looking for a reliable, scalable, and accurate image annotation team, I’m ready to take on your project — whether it’s 100 images or 1,00,000+.
Send me a message, and I’ll respond quickly.
Let’s build high-quality datasets for your AI model!
Steps for completing your project
After purchasing the project, send requirements so Razia can start the project.
Delivery time starts when Razia receives requirements from you.
Razia works on your project following the steps below.
Revisions may occur after the delivery date.
Receive & Review Dataset
Understand classes, guidelines, and requirements Confirm labeling rules and naming conventions
Annotation by Trained Team
Use Bounding Box or Polygon tools Follow all client-provided instructions Multi-image batch annotation for efficiency