Edge Impulse Inc. / Tutorial: Adding sight to your sensors
This is the finished Edge Impulse project for the tutorial 'Adding sight to your sensors'. From here you can acquire new training data, design impulses and train models.
About this project
Lamps and Plants and Bears, oh my!
Want to make the most of your device's camera and predict what is/is not present in your device's environment? Clone this project to build an embedded ML project to add intelligent sight to your device.
You can also follow our tutorial to guide you through building your image classification model, from data collection to deployment on embedded devices.
Sensor & Block Information
- Image data
- Image DSP block for normalizing image files
- Transfer Learning block with prediction outputs: "lamp", "plant", "unknown"
Download block output
| Title | Type | Size | |
|---|---|---|---|
| Image training data | NPY file | 221 windows | |
| Image training labels | NPY file | 221 windows | |
| Image testing data | NPY file | 55 windows | |
| Image testing labels | NPY file | 55 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 | |
| Transfer learning model | Model evaluation metrics (JSON file) | - |
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Summary
Data collected
276 itemsProject info
| Project ID | 14227 |
| Project version | 10 |
| License | Apache 2.0 |
