Face Mask Dataset
Face Mask Dataset
Datasets
Face Mask Dataset
File
Face Mask Dataset
Use Case
Computer vision
Description
Discover the Dataset with 14,535 images for mask detection and classification. Includes incorrect, with, and without mask scenarios for AI training.
Description:
The Face Mask Dataset is a meticulously curated collection of 14,535 images, designed to train and enhance face mask detection systems. This dataset caters to researchers and developers aiming to create robust machine learning models capable of identifying various mask-wearing scenarios.
Face Mask Dataset Overview
Classes and Distribution
- 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).
- 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).
- 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.
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