Jester (Gesture Recognition)

Jester Gesture Recognition dataset includes 148,092 labeled video clips of humans performing basic, pre-defined hand gestures in front of a laptop camera or webcam. It is designed for training machine learning models to recognize human hand gestures like sliding two fingers down, swiping left or right and drumming fingers.

Source: Gesture Recognition Dataset: Jester

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Benchmarks

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Task	Dataset Variant	Best Model
Action Recognition In Videos	Jester (Gesture Recognition)	CPNet Res34, 5 CP
Unsupervised Domain Adaptation	Jester (Gesture Recognition)	TranSVAE
Action Recognition	Jester (Gesture Recognition)	DirecFormer
Hand Gesture Recognition	Jester test	DRX3D
Hand Gesture Recognition	Jester val	8-MFFs-3f1c
Action Classification	Jester test	C2F