CamGes (Cambridge Hand Gesture Dataset)
The size of the data set is about 1GB. The data set consists of 900 image sequences of 9 gesture classes, which are defined by 3 primitive hand shapes and 3 primitive motions. Therefore, the target task for this data set is to classify different shapes as well as different motions at a time.
Benchmarks
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Cambridge
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Key Frames + Feature Fusion
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Papers
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