You will get High-Quality Data Annotation and Labeling Services for AI Models Training.
Project details
Jonit John | Professional Data Annotation & Labeling Specialist
With over 4 years of experience supporting global organizations, I provide top-tier, pixel-perfect data annotation services tailored for artificial intelligence and machine learning models.
By applying best practices developed from annotating millions of images and videos, I deliver best-in-class data labeling that empowers computer vision leaders worldwide. Whether you need bounding boxes, complex semantic segmentation, or bitmap object tracking, I ensure your datasets are highly accurate and formatted exactly to your project's requirements.
Core Expertise:
Data Types:
Images, Videos
Annotation Types:
Bounding Boxes
Polygons
Masks & Polygons
Keypoint Labeling
Image Classification
Proficient Tools & Platforms:
CVAT
Labelbox
Roboflow
LabelStudio
Supervisely
Supported Output Formats:
YOLO, COCO, JSON, XML, CSV
Scope of Service:
To ensure the highest quality and focus on data precision, my services are strictly dedicated to data labeling.
Notes on Me:
-I DO NOT: Train Models
-I DO NOT: Create Applications
-I DO NOT: Write Python Scripts
Let's discuss your project requirements!
With over 4 years of experience supporting global organizations, I provide top-tier, pixel-perfect data annotation services tailored for artificial intelligence and machine learning models.
By applying best practices developed from annotating millions of images and videos, I deliver best-in-class data labeling that empowers computer vision leaders worldwide. Whether you need bounding boxes, complex semantic segmentation, or bitmap object tracking, I ensure your datasets are highly accurate and formatted exactly to your project's requirements.
Core Expertise:
Data Types:
Images, Videos
Annotation Types:
Bounding Boxes
Polygons
Masks & Polygons
Keypoint Labeling
Image Classification
Proficient Tools & Platforms:
CVAT
Labelbox
Roboflow
LabelStudio
Supervisely
Supported Output Formats:
YOLO, COCO, JSON, XML, CSV
Scope of Service:
To ensure the highest quality and focus on data precision, my services are strictly dedicated to data labeling.
Notes on Me:
-I DO NOT: Train Models
-I DO NOT: Create Applications
-I DO NOT: Write Python Scripts
Let's discuss your project requirements!
What's included
| Service Tiers |
Starter
$5
|
Standard
$55
|
Advanced
$500
|
|---|---|---|---|
| Delivery Time | 1 day | 3 days | 7 days |
Number of Revisions | 1 | 2 | 4 |
Number of Model Variations | 1 | 2 | 4 |
Model Validation/Testing | - | ||
Model Documentation | - | ||
Data Source Connectivity | |||
Source Code | - | - | - |
Optional add-ons
You can add these on the next page.
Additional Revision
+$2
Additional Model Variation
(+ 2 Days)
+$3About Jonit
Image Annotation/Video Annotation For Computer Vision and Detection
Kannur, India - 3:46 pm local time
With a strong background in diverse industries—including healthcare, agriculture, automotive, Insurance, Banking, and infrastructure—I ensure accurate, consistent, and deadline-driven annotations tailored to your project needs.
🔍 My Annotation Expertise
🖼️ Image & Video Annotation
✔ Bounding Boxes | Polygons | Semantic Segmentation
✔ Video Annotation & Object Tracking (frame-by-frame consistency)
✔ Keypoint & Landmark Annotation (pose estimation, facial features)
✔ Line & Spline Marking (lane detection, infrastructure mapping)
🏥 Medical & Specialized Annotation
✔ Medical Imaging (X-rays, MRIs, CT scans)
✔ Agricultural Image Annotation (crop/plant labeling, disease detection)
✔ Satellite & Aerial Imagery (land use, object detection)
🚗 Automotive & Infrastructure
✔ Vehicle Damage & Part Labeling (dents, scratches, component segmentation)
✔ License Plate Annotation (for ANPR systems)
✔ Building Defect Detection (cracks, rust, spalling, water stains)
✔ Structural & Footprint Annotation (3D mapping, construction analysis)
💼 Insurance and Banking
✔ Document Classification (Classify Documents)
✔ Tampering Detection (To detect and identify oblivious tampering)
✔ Data Extraction ( Extracting specific data from documents with detection)
✔ Queue Management (Queue management in banking with computer vision)
🛠️ Tools I Master
MakeSense.AI | Label Studio | LabelImg |
Roboflow | VGG Image Annotator
Annotation Type Output Formats
Bounding Boxes TXT (YOLO), VOC XML, CSV
Polygons COCO JSON, VGG JSON
Keypoints CSV, JSON
Lines/Splines CSV, JSON
Semantic Segmentation PNG Masks, COCO JSON
Video Frames TXT(YOLO), COCO JSON,
🎯 Focus Areas
My core specialization lies in Computer Vision & Object Detection, including:
Real-time object tracking (autonomous vehicles, surveillance)
Defect & anomaly detection (industrial inspection, quality control)
Precision agriculture (crop monitoring, yield prediction)
Medical imaging analysis (tumor detection, anatomical labeling)
💼 Selected Projects
✅ Car Part Damage Segmentation for Insurance Industry – Bounding box & polygon annotation
using Roboflow
✅ Document Classification – Specific image recognition labeling in Makesense.AI
✅ Tampering Detection – Annotated 10000+ Image for tampering using Makesense.AI
✅ Heavy Duty Fuse Detection– For Industrial AI work of temperature analysis on fuse board
✅ Drone Image annotation – Drone image use in detecting and assessing damage from natural
calamities by capturing aerial imagery
🌟 Why Work With Me?
✔ High Accuracy & Consistency – Meticulous attention to detail
✔ Domain-Specific Expertise – Healthcare, automotive, agriculture, infrastructure
✔ Fast Turnaround – On-time delivery without compromising quality
✔ Tool Flexibility – Proficient in industry-leading annotation platforms
Let’s collaborate to enhance your AI models with high-quality training data! 🚀
📩 Contact me today to discuss your project!
Steps for completing your project
After purchasing the project, send requirements so Jonit can start the project.
Delivery time starts when Jonit receives requirements from you.
Jonit works on your project following the steps below.
Revisions may occur after the delivery date.
Data & Guideline Verification
Check the provided dataset to ensure files aren't corrupted and review the guidelines. If edge cases aren't covered in their rules, you ask for clarification before starting.
Sample Batch Approval
Annotate a small sample (e.g., 10 to 20 images) and send it for review.