Medical Masks Dataset
Dataset includes selfies of individuals captured in four different states of medical mask usage.
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-
- images
- 245,960
-
- people
- 61,490
- Medicine
- Computer Vision
- Machine Learning
- Facial Recognition
-
- images
- 245,960
-
- people
- 61,490
Dataset Info
| Characteristic | Data |
| Description | Images of human faces wearing medical masks |
| Data types | Image |
| Tasks | Face Mask Detection, Computer Vision |
| Number of people | 61,490 |
| Number of files in a set | 4 images per person |
| Total number of files | 245,960 |
| 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 |
attacks monthly
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Statistics
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- Distribution by gender
Technical
Characteristics
| Characteristic | Data |
| Image extension | jpg |
Industries
Medicine and Healthcare
-
Public Health Compliance:
Training AI systems to detect proper mask usage in hospitals, clinics, and public spaces.
-
Pandemic Monitoring Tools:
Enhancing surveillance systems to ensure mask compliance during outbreaks.
Security
-
Occlusion-Aware Face Recognition:
Improving accuracy of facial recognition models when masks partially cover the face.
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Access Control Systems:
Enabling facial authentication even when masks are worn
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