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  Dataset used for a training a model to classify Danish Sign Language signs, based on MediaPipe hand landmark data.
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- The dataset consist of four classes, 'unknown', 'hello', 'bye' and 'thanks'.
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  There are 30 datapoints for each class.
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  Each data point is 30 frames of data stored in individual Numpy files with x, y and z values for each hand landmark.
 
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  ---
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  Dataset used for a training a model to classify Danish Sign Language signs, based on MediaPipe hand landmark data.
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+ The data is not split in to training, test and validation sets.
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+ The dataset consist of four classes, 'unknown', 'hello', 'bye' and 'thanks'.
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  There are 30 datapoints for each class.
 
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  Each data point is 30 frames of data stored in individual Numpy files with x, y and z values for each hand landmark.