AI Hair Counting
Count individual hair strands and follicular units with medical-grade precision.
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Overview
Our core hair counting model detects every visible strand in micro-camera or dermatoscope images. It groups hairs into follicular units (1–7 hairs) and returns an annotated image with confidence scores — the foundation for density tracking, transplant planning, and treatment monitoring.
What You Get
Key Features
- Detect and count every visible hair strand automatically
- Break down results into 7 follicular unit groups
- Annotated output image with bounding boxes and confidence scores
- Works with micro-camera and dermatoscope images
- Track changes across visits for the same patient
- API-ready for integration into clinic workflows
Who Uses It
Hair Transplant Clinics
Measure donor area density and document graft survival post-surgery.
Dermatologists
Quantify treatment response for minoxidil, finasteride, or PRP therapy.
Trichologists
Build evidence-based scalp assessments and treatment protocols.
Clinical Research
Collect standardized, reproducible hair count data across study sites.
Image Guidelines
- Use a micro camera or dermatoscope for close-up scalp images
- Ensure even lighting with no shadows on the scan area
- Keep the camera perpendicular to the scalp surface
- Focus sharply on individual follicles — blur reduces accuracy
Related Analyses
CLINICAL
Hairs per cm² / mm²
Density Analysis
Density analysis goes beyond raw counts by calculating hairs per square centimeter (or mm²) across the scanned region. Enter your image scale or use our calibration tools to get clinical-grade density metrics used in transplant planning and hair loss staging.
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PROGRESS
Treatment tracking
Before & After
Upload two scalp images taken at different times and get an AI-powered side-by-side comparison. See density changes, Norwood stage shifts, and improvement percentages — perfect for demonstrating treatment efficacy to patients or documenting transplant outcomes.
Learn moreReady to get started?
Try Hair Counting free — no credit card required.