Standard DatasetsDMS Facial Detection Bounding Boxes Dataset
The "DMS Facial Detection Bounding Boxes Dataset" is tailored for the autonomous driving sector, featuring a collection of in-car images with a resolution of 640 x 480 pixels. This dataset is focused on employing rectangular bounding boxes to identify usable and non-usable facial regions for Driver Monitoring System (DMS) analysis. The annotations ensure clear differentiation between facial regions that are applicable for analysis and those that are not, enhancing the reliability and accuracy of DMS functionalities.
Sample
Specification
Dataset ID
MD-Image-097
Dataset Name
DMS Facial Detection Bounding Boxes Dataset
Data Type
ImageVolume
About About 10k
Data Collection
In car collection images. Resolution is 640 x 480.
Annotation
Bounding Box
Annotation Notes
Rectangular bounding boxes identify usable and non-usable facial regions for DMS analysis, ensuring clear differentiation for applicability.
Application Scenarios
Autonomous Driving
Data Collections
This specialized dataset includes in-car images annotated with bounding boxes that precisely identify facial regions suitable for DMS analysis, as well as those regions that should be excluded. The clear demarcation of usable and non-usable facial areas within these images is crucial for developing and optimizing DMS technologies in autonomous vehicles. By providing accurate facial region identification, this dataset supports the advancement of DMS solutions that ensure driver safety and attentiveness, contributing to the overall safety and efficacy of autonomous driving systems.
Quality Assurance
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