Jester (Gesture Recognition)

Videos

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

Benchmarks

Action Recognition/Val Action Recognition In Videos/Val Activity Recognition/Val Domain Adaptation/Accuracy Unsupervised Domain Adaptation/Accuracy

Related Benchmarks

Jester test/Gesture Recognition/Top 1 Accuracy Jester test/Hand/Top 1 Accuracy Jester test/Video/Accuracy Jester val/Gesture Recognition/Top 1 Accuracy Jester val/Gesture Recognition/Top 5 Accuracy Jester val/Hand/Top 1 Accuracy Jester val/Hand/Top 5 Accuracy