Standard DatasetsEscalator Face Bounding Dataset
The "Escalator Face Bounding Dataset" is specifically designed for use in government and security sectors, featuring a collection of outdoor-collected images with resolutions exceeding 960 x 540 pixels. This dataset employs bounding boxes to annotate the head, face, and entire body of individuals captured in escalator settings. The annotations are meticulously drawn to encompass the entire face, including any masks that might be worn, ensuring comprehensive facial recognition capabilities even in partially obscured conditions.
Sample
Specification
Dataset ID
MD-Image-096
Dataset Name
Escalator Face Bounding Dataset
Data Type
ImageVolume
About About 30k
Data Collection
Outdoor collected images. Resolution is above 960 x 540.
Annotation
Bounding Box
Annotation Notes
Bounding boxes are to be drawn around the head, face, and entire body. The annotation box encompass the whole face, including masks when worn.
Application Scenarios
Government & Secuity
Data Collections
This dataset includes approximately 30k images, each annotated with bounding boxes that precisely outline the head, face, and body of individuals. The careful consideration to include face coverings like masks in the annotations makes this dataset particularly valuable for security and surveillance applications, where accurate facial detection is crucial, even in crowded or complex environments like escalator access points. This dataset supports the development and enhancement of security systems, crowd monitoring solutions, and facial recognition technologies, ensuring effective identification and security measures in public spaces.
Quality Assurance
Relevant Open Datasets
To supplement our Face Parsing Dataset, users can explore these open datasets for additional resources:
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简介
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