Image · Medical / Customer Service
Medical Masks Dataset - 167, 880 Images for Face Mask Detection and Computer Vision
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Overview
Medical Masks Dataset - 167, 880 Images for Face Mask Detection and Computer Vision is an image and medical dataset. The provider states a volume of 880 images. Typical applications include alignment & RLHF, object detection and segmentation. Relevant sectors: Customer Service. The listing mentions polygons / segmentation and classification labels. It is offered as a paid dataset; pricing details are provided on request.
Primary applications
What the listing offers
- Stated volume of 880 images.
- Listing mentions polygons / segmentation, classification labels.
Overview The Medical Masks Dataset is a large-scale, manually annotated collection of images produced by the provider, designed to train and evaluate face mask detection models, mask detectors, and face recognition systems. The dataset consists of 167,880 images covering 41,970 unique individuals captured in 4 distinct states of medical mask usage — making it one of the largest datasets of this kind available for computer vision and deep learning research. The dataset supports a wide range of detection tasks: from binary mask classification to fine-grained segmentation masks and object detection in real-world conditions. Images feature varied lighting, angles, and demographics to ensure robust model generalization across challenging environments. Mask States Each person in the dataset is photographed in all 4 mask-wearing positions: 1. No mask 2. Mask on chin 3. Mask covering mouth only 4. Mask fully on (covering mouth and nose) This 4-state structure enables detection models to distinguish not just between masked and unmasked individuals, but to identify partial or improper mask usage — critical for safety compliance systems and surveillance in healthcare and public settings. Dataset Composition - Total images: 167,880 - Number of people: 41,970 - Images per person: 4 (one per mask state) - Image format: JPG - Data collection method: crowdsourcing platforms Subject Demographics The dataset covers both male and female participants spanning a wide age range (min = 18, max = 72), co
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- Language
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- Volume
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- Domain
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- Use case
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Price on request