You will get Medical Image Annotation | DICOM, X-Ray, MRI, CT & Pathology Labeling

Muhammad M.Status: Offline
Muhammad M. Muhammad M.
Rising Talent

Let a pro handle the details

Buy Machine Learning services from Muhammad, priced and ready to go.
Muhammad M.Status: Offline
Muhammad M. Muhammad M.
Rising Talent

Let a pro handle the details

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

Project details

I will provide medical image annotation for Healthcare AI and clinical Machine Learning datasets, including DICOM files, X-rays, CT scans, MRI slices, ultrasound frames, pathology slides, retinal images, and segmentation masks. This service includes bounding box annotation, lesion labeling, organ segmentation, tumor masks, pathology labeling, anatomical landmark annotation, DICOM-SEG, NIfTI masks, PNG masks, anonymization support, QA review, and HIPAA-aware data handling.

Medical AI needs precise labels, consistent guidelines, and careful privacy practices. I can work from clinician-provided labeling instructions, reference examples, class definitions, and annotation protocols to create structured training data for radiology AI, pathology AI, ophthalmology, ultrasound analysis, organ segmentation, and healthcare model validation.

Deliverables can include DICOM-SEG, NIfTI, JSON, CSV, PNG masks, COCO, or custom formats. This catalog is ideal for healthcare AI teams, ML engineers, research groups, and clinical dataset projects that need secure, accurate, quality-reviewed medical annotation for AI model training and evaluation.
What's included
Service Tiers Starter
$100
Standard
$300
Advanced
$700
Delivery Time 4 days 7 days 14 days
Number of Revisions
246
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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Optional add-ons You can add these on the next page.
Fast Delivery
+$70 - $300

Frequently asked questions

Muhammad M.Status: Offline

About Muhammad

Muhammad M.Status: Offline
AI Data Annotation | Computer Vision | NLP | RLHF | AI Training Data
Dera Ghazi Khan, Pakistan - 6:19 pm local time
Are you looking for accurate, high-quality training data to improve your AI, Machine Learning, Computer Vision, NLP, or LLM models?

I help AI companies, startups, research teams, and machine learning teams build reliable datasets through professional data annotation, data labeling, quality assurance, RLHF evaluation, and AI training data preparation.

My focus is simple: clean, consistent, and well-structured training data that helps improve model accuracy, performance, and reliability.

Computer Vision Annotation Services:

• Image Annotation
• Video Annotation
• Bounding Box Annotation
• Polygon Annotation
• Object Detection
• Semantic Segmentation
• Instance Segmentation
• Keypoint & Landmark Annotation
• Image Classification
• Object Tracking
• OCR Annotation
• Medical Image Annotation
• Satellite Image Annotation

NLP & LLM Annotation Services:

• Text Annotation
• Text Classification
• Named Entity Recognition (NER)
• Sentiment Analysis
• Intent Classification
• Content Moderation
• Prompt Evaluation
• Response Evaluation
• RLHF Evaluation
• LLM Data Labeling
• AI Response Rating
• Search Relevance Evaluation
• Human Feedback Annotation

Audio & Speech Annotation Services:

• Audio Annotation
• Audio Labeling
• Speech Transcription
• Audio Classification
• Voice Data Evaluation
• Data Tagging

AI Training Data & QA Services:

• Dataset Creation
• Dataset Cleaning
• Dataset Curation
• Ground Truth Creation
• Data Collection
• Data Processing
• Quality Assurance
• Quality Control
• Dataset Validation
• AI Training Data Preparation

Tools & Platforms:

• CVAT
• Label Studio
• Labelbox
• Roboflow
• Supervisely
• LabelImg
• LabelMe
• Doccano
• Prodigy
• Dataloop
• V7
• VGG Image Annotator

Industries & Use Cases:

• Artificial Intelligence & Machine Learning
• Autonomous Vehicles
• Retail & E-commerce
• Healthcare & Medical Imaging
• Document Intelligence & OCR
• Geospatial & Satellite Imagery
• Security & Surveillance
• Conversational AI & LLMs
• Search & Recommendation Systems
• Audio and Speech Recognition

Why work with me?

• Accurate and consistent annotations
• Strong attention to detail
• Quality control before delivery
• Clear communication
• Fast turnaround time
• Scalable support for small and large datasets
• Focus on high-quality AI training data

Whether you need Computer Vision annotation, NLP datasets, RLHF evaluation, LLM response rating, AI training data preparation, or large-scale data labeling support, I can help you build reliable datasets for better AI models.

Let’s discuss your project and create high-quality data for your next AI solution.

Steps for completing your project

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

Delivery time starts when Muhammad receives requirements from you.

Muhammad works on your project following the steps below.

Revisions may occur after the delivery date.

Review Medical Dataset

I will review your medical imaging data, modality, target labels, clinical guidelines, privacy requirements, output format, and annotation scope before starting the healthcare AI labeling workflow and confirming safe handling requirements carefully.

Prepare Secure Workflow

I will organize de-identified files, set up labels, masks, classes, reference examples, DICOM or image viewers, segmentation tools, and QA rules while following your privacy, confidentiality, and handling instructions carefully throughout work.

Review the work, release payment, and leave feedback to Muhammad.