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klotz: image classification* + embedded systems*

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1. Neural Network Example Code

   This Python code demonstrates a neural network application on a CircuitPython board, utilizing a camera (OV7670) for image capture, preprocessing, and inference using a digit classifier. It includes image conversion, auto-cropping, and normalization steps.

   2026-01-13 Tags: circuitpython, neural network, image classification, ov7670, digit recognition, machine learning, embedded systems, camera, ulab, github adafruit, code2k13 by klotz
2. It’s easy to train your own image classification model with an ESP32, and I did it in five minutes

   This article details how to train an image classification model on an ESP32 using both the SenseCraft AI platform and a custom TensorFlow Lite implementation. It covers setting up binary classification, training the model, and deploying it on ESP32-S3 devices.

   2025-12-01 Tags: esp32, tinyml, image classification, tensorflow lite, esp32-s3, machine learning, sensecraft ai, embedded systems by klotz

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