CNN
The dataset was developed as part of the NANCY project (https://nancy-project.eu/) to support tasks in the computer vision area. It is specifically designed for sign language recognition, focusing on representing joints and finger positions. The dataset comprises images of hands that represent the alphabet in American Sign Language (ASL), with the exception of the letters "J" and "Z," as these involve motion and the dataset is limited to static images.
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- There are six folders corresponding to 6 types of BPPV disorders.
- Each folder has one sample.
Each class is specified by the typical movement of the eye.
+) Lt_Geo_BPPV: eye beats toward the ground, beats stronger to the left side (turn head left).
+) Rt_Geo_BPPV: eye beats toward the ground, beats stronger to the right side (turn head right).
+) Lt_Apo_BPPV: eye beats toward the sky, beats stronger to the left side (turn head right).
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The Badminton Activity Recognition (BAR) Dataset was collected for the sport of Badminton for 12 commonly played strokes. Besides the strokes, the objective of the dataset is to capture the associated leg movements.
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The rapid outbreak of COVID-19 due to the novel coronavirus SARS-COV-2 is the biggest issue faced by mankind today. It is important to detect the positive cases as early as possible to prevent the further spread of this pandemic.
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test
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