Hand Gesture Recognition Dataset

The dataset consists of videos showcasing individuals demonstrating 5 different hand gestures ("one", "four", "small", "fist", and "me"). Each video captures a person prominently displaying a single hand gesture, allowing for accurate identification and differentiation of the gestures.

The dataset offers a diverse range of individuals performing the gestures, enabling the exploration of variations in hand shapes, sizes, and movements across different individuals.

The videos in the dataset are recorded in reasonable lighting conditions and with adequate resolution, to ensure that the hand gestures can be easily observed and studied.

The dataset's possible applications:

hand gesture recognition
gesture-based control systems
virtual reality interactions
sign language analysis
human pose estimation and action analysis
security and authentication systems

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Content

files: includes folders corresponding to people and containing videos with 5 different shown gestures, each file is named according to the captured gesture
.csv file: contains information about files in the dataset

Hand gestures in the dataset:

"one"
"four"
"small"
"clenched fist"
"me"

File with the extension .csv

includes the following information:

set_id: id of the set of videos,
one: link to the video with "one" gesture,
four: link to the video with "four" gesture,
small: link to the video with "small" gesture,
fist: link to the video with "fist" gesture,
me: link to the video with "me" gesture

Videos with hand gestures might be collected in accordance with your requirements.

TrainingData

More datasets in TrainingData's Kaggle account: https://www.kaggle.com/trainingdatapro/datasets

TrainingData's GitHub: https://github.com/Trainingdata-datamarket/TrainingData_All_datasets

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