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

Posted by Colby Banbury, Emil Njor, Andrea Mattia Garavagno, Vijay Janapa Reddi – Harvard University TinyML is an exciting frontier in machine learning, enabling models to run on extremely low-power devices such as microcontrollers and edge devices. However, the growth of this field has been stifled by a lack of tailored large and high-quality datasets. That’s where Wake Vision comes in—a new dataset designed to accelerate research and development in TinyML.