Download
The “NTU RGB+D” repository provides access to a large-scale dataset for human action recognition (and its extension, NTU RGB+D 120). The dataset includes multiple modalities (RGB video, depth sequences, infrared video, 3D skeletal joint data) captured with multiple Kinect v2 cameras simultaneously. The repository also contains MATLAB / Python demo scripts for loading, visualizing, and processing skeleton data, mapping between modalities, and handling dataset structure. Multi-modal action recognition dataset, RGB, depth, infrared, skeletal data. Split into background / evaluation sets for one-shot evaluation (in the extended dataset).
Features
- Multi-modal action recognition dataset: RGB, depth, infrared, skeletal data
- Large scale: ~56,880 samples in NTU RGB+D, ~114,480 in NTU RGB+D 120
- Demo / sample code in MATLAB / Python for loading, visualization, preprocessing
- Standardized naming and folder structure (SsssCcccPpppRrrrAaaa)
- Some samples with missing or incomplete skeleton data, with lists provided
- Split into background / evaluation sets for one-shot evaluation (in the extended dataset)
Project Samples
Categories
AlgorithmsFollow NTU RGB-D
Other Useful Business Software
Build Securely on Azure with Proven Frameworks
Moving to the cloud brings new challenges. How can you manage a larger attack surface while ensuring great network performance? Turn to Fortinet’s Tested Reference Architectures, blueprints for designing and securing cloud environments built by cybersecurity experts. Learn more and explore use cases in this white paper.
Rate This Project
Login To Rate This Project
User Reviews
Be the first to post a review of NTU RGB-D!
