The Hair Type Classification Dataset is a diverse collection of high-quality images designed to train machine learning models for identifying and classifying various hair types and styles. The dataset includes images of individuals representing the four primary hair types—Straight, Wavy, Curly, and Kinky—as well as the popular hairstyle, Dreadlocks. This dataset is an invaluable resource for researchers and developers working on applications like beauty technology, personalized styling solutions, and human attribute recognition.
Key Features:
- Comprehensive Hair Types: Covers Straight, Wavy, Curly, and Kinky hair types, along with the Dreadlocks hairstyle.
- High-Quality Images: Clear and detailed images enhance machine learning model accuracy.
- Diverse Representation: Includes individuals with varied hair characteristics for better generalization.
- Application-Ready: Ideal for AI-driven hair classification, virtual styling tools, and image recognition research.
- Interactive Demo: Try the dataset in action with
This dataset is sourced from Kaggle.