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Error code: UnexpectedError
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0chefs_kiss
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1fist_bump
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End of preview.
Guesture Recognition 👋
A Code Network Gesture Recognition Software project implemented in Python for recognizing and classifying hand gestures using computer vision and machine learning techniques.
QUT Code Network Gesture Recognition Dataset
This dataset is used to train a gesture recognition model for a QUT Code Network project.
Guestures Recognised
- Thumbs Up
- Thumbs Down
- Sign of the Horns (Rock Sign)
- Vulcan Salute
- Palm/Stop
- Fist Bump
- Fist (Up)
- Peace
- Heart Finger
- Heart Hands
- Peace
- Chef's Kiss
- Ok
How to contribute to the dataset
To create a robust model, consider the following factors when taking photos for the dataset:
- Data Diversity
- Lighting Conditions
- Background Variation
- Camera Angles and Perspectives
- Distance from Camera
- Obstructions and Partial Visibility
- Subject Diversity
- Participants have different skin tones and hand sizes
- Left and Right handed gestures
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