Avnet RASynBoard / Smart Park FOMO .35
This is your Edge Impulse project. From here you acquire new training data, design impulses and train models.
About this project
This public Edge Impulse project does not have a README yet.
Clone this project to add new data or retrain this project, or to deploy this project to a device.
Download block output
| Title | Type | Size | |
|---|---|---|---|
| Image training data | NPY file | 500 windows | |
| Image training labels | JSON file | 500 windows | |
| Image testing data | NPY file | 127 windows | |
| Image testing labels | JSON file | 127 windows | |
| Object detection model | TensorFlow Lite (float32) | 83 KB | |
| Object detection model | TensorFlow Lite (int8 quantized) | 55 KB | |
| Object detection model | Model evaluation metrics (JSON file) | 6 KB | |
| Object detection model | TensorFlow SavedModel | 187 KB | |
| Object detection model | Keras h5 model | 90 KB |
Clone project
You are viewing a public Edge Impulse project. Clone this project to add data or make changes.
Summary
Data collected
627 itemsProject info
| Project ID | 368715 |
| License | Apache 2.0 |
