A full on-device vision system trains a two-layer CNN with Adam optimization and runs inference at 6.3 FPS on a $15-40 ESP32 microcontroller using 1750 lines of self-contained C++.
TinyML4D: Scaling Embedded Machine Learn- ing Education in the Developing World
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A zero-install browser tool provides a complete local pipeline for training and deploying TinyML vision models on ESP32 hardware in under 10 minutes.
citing papers explorer
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On-Device Vision Training, Deployment, and Inference on a Thumb-Sized Microcontroller
A full on-device vision system trains a two-layer CNN with Adam optimization and runs inference at 6.3 FPS on a $15-40 ESP32 microcontroller using 1750 lines of self-contained C++.
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WebSerial Vision Training for Microcontrollers: A Browser-Based Companion to On-Device CNN Training
A zero-install browser tool provides a complete local pipeline for training and deploying TinyML vision models on ESP32 hardware in under 10 minutes.