MyHair.ai Research Lab

Advancing hair and scalp AI

We explore robust perception, clinically-relevant metrics, and fast on-device inference to bring trustworthy AI to hair health.

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Latest research

IHADA Framework: Integrated Hair Analysis & Diagnostic Architecture
Computer VisionHair AnalysisMedical AIMulti-task Learning
Oct 2025

IHADA Framework: Integrated Hair Analysis & Diagnostic Architecture

A modular deep learning pipeline combining segmentation, detection, and super-resolution models for comprehensive scalp and hair analysis, enabling personalized product recommendations.

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Scalable Deep Learning for Hair Strand Segmentation and Quantification
Hair SegmentationESRGANImage ProcessingMedical AI
JUL 2025

Scalable Deep Learning for Hair Strand Segmentation and Quantification

Combines U²-Net for high-fidelity hair segmentation with ESRGAN for super-resolution, enabling robust strand counting across diverse conditions.

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