<ul><li>Wake Vision is a new dataset designed to accelerate research and development in TinyML, enabling models to run on low-power devices.</li><li>Existing datasets for TinyML, like Visual Wake Words (VWW), have limitations for training production-grade models.</li><li>Wake Vision provides a large and high-quality dataset specifically tailored for person detection in TinyML, with two distinct training sets: one prioritizing dataset size and the other prioritizing label quality.</li><li>The Wake Vision dataset offers fine-grained benchmarks and tests for evaluating model performance in various real-world scenarios, such as distance, lighting conditions, depictions, perceived gender, and age.</li></ul>

Introducing Wake Vision: A High-Quality, Large-Scale Dataset for TinyML Computer Vision Applications

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