You will get accurate data annotation with bounding box and segmentations for ai model

Muhammad Mamun M.Status: Offline
Muhammad Mamun M. Muhammad Mamun M.
4.9
Top Rated

Let a pro handle the details

Buy Machine Learning services from Muhammad Mamun, priced and ready to go.
Muhammad Mamun M.Status: Offline
Muhammad Mamun M. Muhammad Mamun M.
4.9
Top Rated

Let a pro handle the details

Buy Machine Learning services from Muhammad Mamun, priced and ready to go.

Project details

Hello! I'm Md Mamun Mia, a seasoned data annotation, image annotation, and data labeling professional with over 4+ years of experience in the field, including work for international companies

My expertise includes a wide range of annotation techniques, such as bounding box annotation, polygon segmentation, and keypoint labeling ensuring precise and accurate data for AI models. With experience annotating millions of images and videos, I deliver high-quality data labeling solutions for global leaders in computer vision

Services:

-Bounding Box annotation
-Semantic Segmentation (Masks)
-Polygon annotation
-Key Points annotation
-OCR
-Image classification and categorization


Tools I Use:

-Roboflow
-Super Annotate
-CVAT
-LABELBOX
-Supervisely
-Labelme
-LabelStudio
-QuPath
-Client-Specific Tools e.t.c


Output Formats:

-XML(Pascal Voc)
-YOLO (TXT), YOLOv8
-CSV
-JSON
-COCO Format
-Segmentation Mask e.t.c


Notes:

-I customize data to user-friendly formats.
-I DO NOT train models.
-I DO NOT create applications.
-I DO NOT write Python scripts.


I'm here for 24/7 online (literally)

If you are looking for a full-time annotator or a long-term collaboration, that is even better!

Let's
Machine Learning Tools
Vertex AI
What's included
Service Tiers Starter
$15
Standard
$750
Advanced
$1,500
Delivery Time 1 day 5 days 10 days
Number of Revisions
1UnlimitedUnlimited
Model Validation/Testing
-
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-
Model Documentation
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Data Source Connectivity
-
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Source Code
-
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4.9
22 reviews
95% Complete
5% Complete
1% Complete
(0)
1% Complete
(0)
1% Complete
(0)

TL

Tarah L.
5.00
Apr 15, 2026
Instance Segmentation Annotations of Interior Images Muhammad provided accurate annotations and corrected any issues that existed in a timely manner.

TL

Tarah L.
5.00
Feb 17, 2026
Instance Segmentation Annotations for Interior Photos

TL

Tarah L.
5.00
Jan 28, 2026
Instance Segmentation Annotation - Interior Muhammad delivered great results for us in a timely manner, and took the time to make any necessary changes to ensure high quality annotations.

RV

Rodolph V.
5.00
Sep 28, 2025
Warehouse rack annotation

PM

Paul M.
5.00
Sep 14, 2025
Count all vehicles in a 15min video file and write down their number plates (Human verification)
Muhammad Mamun M.Status: Offline

About Muhammad Mamun

Muhammad Mamun M.Status: Offline
AI Data Annotation Specialist | Image & Video Annotation |Segmentation
100% Job Success
4.9  (22 reviews)
Dhaka, Bangladesh - 4:18 pm local time
Hi, I’m Md Mamun Mia — a skilled data annotation specialist with over 5 years of experience supporting international clients on large-scale image and video datasets.

💡 My Core Expertise:

✔️ Bounding Box Annotation
✔️ Polygon Annotation
✔️ Semantic & Instance Segmentation
✔️ Image Annotation & Image Labeling
✔️ Video Annotation
✔️ Keypoint Annotation
✔️ Cuboid & LiDAR Annotation
✔️ Text Annotation
✔️ Image Tagging

🛠️ Tools I Work With:

✔️ CVAT
✔️ Roboflow
✔️ Label Studio
✔️ Labelbox
✔️ LabelImg
✔️ LabelMe
✔️ Supervisely
✔️ VGG Image Annotator (VIA)
✔️ Other web-based annotation platforms

📁 Supported Formats:

-YOLO, COCO, Pascal VOC (XML), JSON, CSV, Segmentation Masks, etc.


✅ Delivering accurate, consistent, and client-focused annotation

❌ No model training or coding — 100% focused on high-quality data labeling

🌍 Available 24/7 — open to full-time, long-term, and remote projects

Steps for completing your project

After purchasing the project, send requirements so Muhammad Mamun can start the project.

Delivery time starts when Muhammad Mamun receives requirements from you.

Muhammad Mamun works on your project following the steps below.

Revisions may occur after the delivery date.

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