Daisykit is a user-friendly AI toolkit that enables integration of various AI capabilities, such as face mask detection, human pose estimation, background matting, and barcode detection, without requiring deep knowledge of neural networks. The toolkit is open-source and includes components for both Python and C++. It provides easy installation through pip for Python users and offers alternative integrations with C++ and Android. This developer-friendly project is maintained by a team of contributors from Neural Research Lab.
• open source
• object detection
• background matting
• barcode detection
• face detection
• hand pose estimation
• human pose estimation
• android support
• c++ integration
• python integration
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A federated AI framework that integrates decentralized data sources for AI development.
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