You will get annotate images with bounding boxes for AI training

Project details
I am a dedicated Data Annotation & Image Labeling Specialist with hands-on experience building precise, production-ready datasets for AI and computer vision projects. My work spans multiple industries including autonomous driving, fashion, retail, security, and surveillance systems.
š What I Deliver:
š¼ļø Image Classification & Tagging
šÆ Keypoint & Landmark Annotation
šØ Semantic & Instance Segmentation (Polygons & Masks)
š Object Detection with Bounding Boxes
š ļø Object Recognition & Polygon Annotation
š ļø Tools I Work With:
š¤ Roboflow
š§© SuperAnnotate
šļø CVAT
š¦ Labelbox
š Supervisely
š§ LabelMe & V7 Darwin
š Data Types I Handle:
š¼ļø Images
š„ Videos
š Text
š Output Formats:
š XML
š YOLO
š JSON
š COCO
š CSV
š Segmentation Masks
š Important Notes:
ā Datasets delivered in your preferred format ā clean and structured
ā 1500+ images annotated across multiple domains
ā QA/QC checked before every delivery
Let me handle your annotation needs so your AI models get the clean, accurate data they deserve ā delivered on time, every time.
š What I Deliver:
š¼ļø Image Classification & Tagging
šÆ Keypoint & Landmark Annotation
šØ Semantic & Instance Segmentation (Polygons & Masks)
š Object Detection with Bounding Boxes
š ļø Object Recognition & Polygon Annotation
š ļø Tools I Work With:
š¤ Roboflow
š§© SuperAnnotate
šļø CVAT
š¦ Labelbox
š Supervisely
š§ LabelMe & V7 Darwin
š Data Types I Handle:
š¼ļø Images
š„ Videos
š Text
š Output Formats:
š XML
š YOLO
š JSON
š COCO
š CSV
š Segmentation Masks
š Important Notes:
ā Datasets delivered in your preferred format ā clean and structured
ā 1500+ images annotated across multiple domains
ā QA/QC checked before every delivery
Let me handle your annotation needs so your AI models get the clean, accurate data they deserve ā delivered on time, every time.
Data Entry Type
Copy Paste, Data Cleansing, Error DetectionData Entry Tool
Google Docs, Google Sheets, Medical Records Software, Microsoft ExcelWhat's included
| Service Tiers |
Starter
$10
|
Standard
$100
|
Advanced
$1,000
|
|---|---|---|---|
| Delivery Time | 1 day | 5 days | 10 days |
Number of Revisions | 1 | 2 | 3 |
Number of Hours of Work | 2 | 6 | 12 |
Formatting & Clean Up | |||
Graph & Table Creation | - | - | - |
Optional add-ons
You can add these on the next page.
Additional Revision
+$5
Additional Hour of Work
+$5
Formatting & Clean Up
(+ 1 Day)
+$5Frequently asked questions
About Pratik
AI Data Annotation Specialist | CVAT | Roboflow | Segmentation | QA/QC
Kathmandu, NepalĀ - 3:05 am local time
AI Data Annotation Specialist with 2+ years experience in Image Labeling, Video Annotation, Bounding Box, Polygon Segmentation, Medical Image Annotation, and CVAT | Roboflow | LabelMe | V7 Darwin.
I recently completed a video tagging project with high accuracy and fast turnaround. I understand how important clean and precise data is for training AI models.
š§ Tools:
āļø CVAT
āļø Labelbox
āļø Labelimg
āļø Labelme
āļø Darwin V7
āļø SuperAnnotate
āļø Darwin V7
āļøCOCO Annotation
āļøPolygon Segmentation
āļø Supervisely
āļø Excel (dataset handling)
šÆ Services:
⢠Video annotation
⢠Image labeling
⢠segmentation
⢠Bounding box
⢠medical image annotation
⢠sports annotation
⢠Data cleaning & formatting
ā Why hire me:
⢠100% accuracy focus
⢠Fast delivery
⢠Quick response
⢠Ready to start immediately
If you need a detailāoriented annotator to build highāquality training data for your AI or computer vision project, Iād be happy to help.
Send me a message with your tool, data type, and guidelinesāI can start with a small pilot batch right away.
Steps for completing your project
After purchasing the project, send requirements so Pratik can start the project.
Delivery time starts when Pratik receives requirements from you.
Pratik works on your project following the steps below.
Revisions may occur after the delivery date.
Review Dataset & Guidelines
I review all images, understand label classes, and confirm annotation requirements before starting.
Quality Check & Review
I perform thorough QA/QC on all labeled images, fixing errors and ensuring consistency across dataset.


