Face Mask Dataset

Face Mask Dataset Overview

Classes and Distribution

1. Incorrect Mask (5,000 images)
   • Mask On Chin: 2,500 images (mask worn on the chin only).
   • Mask On Mouth Chin: 2,500 images (mask covers chin and mouth, nose exposed).
2. With Mask (4,789 images)
   • Simple With Mask: 4,000 images (plain masks without designs).
   • Complex With Mask: 789 images (decorative masks with logos or patterns).
3. Without Mask (4,746 images)
   • Simple Without Mask: 4,000 images (unobstructed faces).
   • Complex Without Mask: 746 images (faces partially covered by beards, hair, or hands).

Applications

The dataset is ideal for:

• Developing face mask detection systems for various orientations.
• Training AI models to classify mask types and ensure compliance.
• Enhancing public safety tools through advanced facial recognition.

Key Features

• Images include varied scenarios, orientations, and complexities.
• High-quality data samples tailored for machine learning and AI research.
• Structured classes for precise and efficient model training.

This dataset is sourced from Kaggle.