Jenny Plunkett / Visual Wake Words - TinyMLPerf
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 | |
|---|---|---|---|
| Image training data | NPY file | 73507 windows | |
| Image training labels | NPY file | 73507 windows | |
| Image testing data | NPY file | 36097 windows | |
| Image testing labels | NPY file | 36097 windows | |
| Transfer learning model | TensorFlow Lite (float32) | 857 KB | |
| Transfer learning model | TensorFlow Lite (int8 quantized) | 337 KB | |
| Transfer learning model | TensorFlow Lite (int8 quantized with float32 input and output) | 337 KB | |
| Transfer learning model | TensorFlow SavedModel | 950 KB |
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Summary
Data collected
109,604 itemsProject info
| Project ID | 29486 |
| Project version | 1 |
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