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NTU RGB+D Action Recognition Dataset
Date
4 years ago
Organization
Publish URL
Paper URL
License
Other
NTU RGB+D is a large-scale dataset for RGB-D action recognition, which is used for human activity analysis based on deep methods and RGB+D. The content of this dataset can be divided into three categories:
- Forty daily actions (e.g. eating, reading, etc.)
- Nine health-related movements (such as sneezing, stumbling, etc.)
- Eleven interactive actions (such as hugging, boxing, etc.)
This dataset is contributed by community users and is intended for educational and informational purposes only. If any content involves copyright infringement, please contact us at support@hyper.ai for prompt review and removal.
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