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To address the challenges and limitations imposed by insufficient real data, the concept of synthetic data has been introduced. Incorporating this data into ML projects has proven to be a valuable strategy for overcoming challenges related to limited real data sources. In this article published on Wevolver by Edge Impulse, we explain the main principles of creating and utilizing artificial data and how organizations can leverage its potential while building machine-learning projects Check out th
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👀Technical Deep Dive on #GenerativeAI and #SyntheticData: Our 🧑‍🤝‍🧑NVAITC APS project uses synthetic human action data to enhance action-recognition models, addressing data scarcity and rare-action gaps, completed in collaboration with Singapore Institute of Technology. 📝 Tech Blog: https://developer.nvidia.com/blog/improving-synthetic-data-augmentation-and-human-action-recognition-with-synthda/ 📝 GitHub: https://github.com/NVIDIA/synthda | NVIDIA AI
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