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Commercial
Medical Masks Dataset
The dataset includes annotated images of individuals wearing face masks in various positions, designed for face mask detection, object detection, and face recognition tasks, providing diverse training data to develop deep learning detection models for identifying mask usage and supporting detection systems
-
- Images
- 167, 880
-
- People
- 41, 970
- Medicine
- Computer Vision
- Machine Learning
- Facial Recognition
- Medicine
- Computer Vision
- Machine Learning
- Facial Recognition
The dataset includes annotated images of individuals wearing face masks in various positions, designed for face mask detection, object detection, and face recognition tasks, providing diverse training data to develop deep learning detection models for identifying mask usage and supporting detection systems
- Medicine
- Computer Vision
- Machine Learning
- Facial Recognition
-
- Images
- 167, 880
-
- People
- 41, 970
Dataset Info
| Characteristic | Data |
| Description | Images of human faces wearing medical masks |
| Data types | Image |
| Tasks | Face Mask Detection, Computer Vision |
| Number of people | 41, 970 |
| Number of files in a set | 4 images per person |
| Total number of images | 167, 880 |
| Types of mask states | No mask, mask on chin, mask covering mouth, mask fully on |
| Labeling | Metadata (ID, gender, age, country) |
| Gender | Male, Female |
| Age | Min = 18, max = 72 |
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Statistics
| i | Age | Count |
| 1 | Under 18 | 729 |
| 2 | 19-25 | 18431 |
| 3 | 26-32 | 11900 |
| 4 | 33-39 | 6737 |
| 5 | 40-46 | 2713 |
| 6 | 47-53 | 966 |
| 7 | 54-59 | 296 |
| 8 | 60-66 | 133 |
| 9 | 67+ | 60 |
| i | Country | COUNTA of country |
| 1 | RU | 15466 |
| 2 | PK | 4897 |
| 3 | IN | 2337 |
| 4 | PH | 1726 |
| 5 | KE | 1638 |
| 6 | NG | 1344 |
| 7 | BR | 1327 |
| 8 | TR | 1251 |
| 9 | BD | 1194 |
| 10 | KZ | 1018 |
| 11 | UA | 819 |
| 12 | US | 762 |
| 13 | ZA | 612 |
| 14 | BY | 610 |
| 15 | NP | 593 |
| 16 | GH | 445 |
| 17 | LK | 413 |
| 18 | VE | 392 |
| 19 | ID | 388 |
| 20 | ZM | 311 |
- Gender distribution
- Continent distribution
Before You Buy The Full Set
This dataset is available for AI stress testing. We run your model on it and report error rates per class, segment & condition, so you buy only the 5–30% that fixes the classes it missed.
Show me what fails
Technical
Characteristics
| Characteristic | Data |
| Image extension | jpg |
Dataset Use Cases
FAQs
What mask types are covered in Medical Masks Dataset?
It includes multiple mask states: no mask, mask on chin, mask covering only the mouth, and mask fully worn. These variations allow detection algorithms to distinguish between correct and incorrect mask usage.
How diverse is the dataset?
The dataset contains images of 41, 970 individuals aged 18 to 72, with both male and female participants across different countries. This diversity improves detection accuracy and ensures that models generalize across varied demographics.
Is the dataset appropriate for training real-time face mask detection models?
Yes. The dataset is suitable for building real-time face mask detection systems used in surveillance, workplace monitoring, transportation hubs, healthcare facilities, and other environments where rapid detection is required.
What types of annotations are provided?
This dataset includes metadata with ID, gender, age, and country for each image. These annotations support segmentation tasks, object detection, and deep learning approaches.
What should I consider before buying this dataset?
Before making a purchase, make sure the mask states, image resolutions, and metadata annotations align with your project’s needs. Consider whether the dataset’s demographic diversity and size are sufficient for your deep learning or computer vision tasks.
Do Unidata datasets follow GDPR or other data privacy regulations?
Yes. Each dataset respects GDPR rules and applicable data protection laws. All information is collected ethically and legally.
How are Unidata datasets stored?
At Unidata, datasets are housed in AWS’s secure and scalable cloud infrastructure. Our processes comply with ISO 27001 and ISO 27701, recognized worldwide for information security and privacy standards. This guarantees a protected, reliable, and standards-driven environment for managing sensitive data.
How are Unidata datasets licensed?
Unidata datasets follow the dual licensing model: sample data is free, while the full dataset is available after purchase.
How can this dataset reduce false positives in mask detection?
Including correctly worn masks as well as incorrectly positioned masks allows models to learn subtle visual differences between mask states. This helps improve the accuracy of computer vision models and reduces incorrect detections in real-world environments.
Still have questions about using Unidata datasets?
Read our user-guides
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