Face detection
Smart focal-plane and in-chip image processing has emerged as a crucial technology for vision-enabled embedded systems with energy efficiency and privacy. However, the lack of special datasets providing examples of the data that these neuromorphic sensors compute to convey visual information has hindered the adoption of these promising technologies.
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A dataset with more comprehensive category labels, richer data scenes, and more diverse image sizes were constructed. All images had been labeled.
The num of all annotations is 8232. This dataset is openly accessible to all future research workers for rapid deployment of mask detection subtasks during the New Crown out- break and in all possible future scenarios.
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Occlusion, glare and secondary reflections formed due to and on the spectacles - results in poor detection, localization, and recognition of eye/face features. We term all the problems related to the usage of spectacles as The spectacle problem. Though several studies on the spectacle detection and removal have been reported in the literature, the study focusing on spectacle problem removal is very limited. One of the main reasons being, the nonavailability of a facial image database highlighting the spectacle problems.
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This database includes data measured by Qualcomm's 60GHz mmWave Radar.
It includes:
Face signature data base: radar face scan data of 206 individuals for face recognition.
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