Introduction

Our hair is a salient element of our overall appearance and plays a key role in facial analysis. Accurate detection and segmentation of the hair region under unconstrained conditions remains challenging for the following reasons:

  • Poor lighting conditions
  • Crowded background
  • Hairstyle and color variations

The segmentation of the hair region provides cues during the face recognition process and is valuable to many domains like:

  • Augmented reality applications, such as hair modeling.
  • Biometric recognition applications, such as detecting the presence of a human when their back is turned to the camera.

Objective

This lesson will explore how to exploit a pretrained ONNX model for hair segmentation. We’ll develop a Python utility that detects the color of the segmented hair region.

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