Abstract: Editor’s notes: This article introduces BiomedBench, the first benchmark suite specifically designed for evaluating TinyML applied in the context of low-power wearable biomedical devices.
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It's easy to train your own image classification model with an ESP32, and I did it in five minutes
Binary classification is a type of image classification where you essentially train a model on two different labelled objects ...
Abstract: This paper presents a low-cost, low-power solution for real-time natural disaster or calamity location detection using the ESP32 CAM, a GPS module, and TinyML. By overlaying calamity ...
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