Edge Impulse Experts / bean_uavs
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 | 481 windows | |
| Image training labels | NPY file | 481 windows | |
| Image testing data | NPY file | 121 windows | |
| Image testing labels | NPY file | 121 windows | |
| Transfer learning model | TensorFlow Lite (float32) | 2 MB | |
| Transfer learning model | TensorFlow Lite (int8 quantized) | 615 KB | |
| Transfer learning model | TensorFlow SavedModel | 2 MB | |
| Transfer learning model | Keras h5 model | 2 MB |
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Summary
Data collected
602 itemsProject info
| Project ID | 119787 |
| Project version | 1 |
| License | No license attached |
