Mateusz / CBM Fault Classifier

This is your Edge Impulse project. From here you acquire new training data, design impulses and train models.

Creating your first impulse (100% complete)

Acquire data

Every Machine Learning project starts with data. You can capture data from a development board or your phone, or import data you already collected.

Design an impulse

Teach the model to interpret previously unseen data, based on historical data. Use this to categorize new data, or to find anomalies in sensor readings.

Deploy

Package the complete impulse up, from signal processing code to trained model, and deploy it on your device. This ensures that the impulse runs with low latency and without requiring a network connection.

Download block output

Title Type Size
Raw data training data NPY file 3170 windows
Raw data training labels NPY file 3170 windows
Raw data testing data NPY file 830 windows
Raw data testing labels NPY file 830 windows
NN Classifier model TensorFlow Lite (float32) 82 KB
NN Classifier model TensorFlow Lite (int8 quantized) 24 KB
NN Classifier model TensorFlow SavedModel 83 KB
NN Classifier model Keras h5 model 76 KB

Summary

Data collected
33m 20s

Project info

Project ID 103752
Project version 1