CNGR/CN_Gesture_Recognition

QUT代码网络手势识别数据集是一个用于训练手势识别模型的数据集，包含了多种常见的手势，如点赞、踩、摇滚手势、瓦肯举手礼、停止手势、击拳、拳头向上、和平手势、爱心手指、爱心手势、再次的和平手势、飞吻和OK手势等。该数据集旨在通过多样化的数据贡献来构建稳健的模型，建议贡献者在拍摄照片时考虑数据多样性、光照条件、背景变化、拍摄角度和距离等因素。

The QUT Code Network Gesture Recognition Dataset is a dataset used for training a gesture recognition model, containing various common gestures such as thumbs up, thumbs down, rock sign, Vulcan salute, stop gesture, fist bump, fist up, peace sign, heart finger, heart hands, peace sign (repeated), chefs kiss, and OK sign. The dataset aims to build a robust model through diverse data contributions, and contributors are advised to consider factors such as data diversity, lighting conditions, background variation, camera angles, distance, obstructions, partial visibility, and diversity in skin tones and hand sizes when taking photos.