Kutluhan Aktar / Dental Model Classifier
This is your Edge Impulse project. From here you acquire new training data, design impulses and train models.
About this project
Project Description
This object detection (FOMO) model makes predictions on dental cast accuracy categories (classes) of 3D-printed dental casts (impressions):
- Cast
- Failed
- Implant
After building my object detection (FOMO) model, I deployed my model as an Arduino library and uploaded it to Sony Spresense so as to run inferences.
Download block output
Title | Type | Size | |
---|---|---|---|
Image training data | NPY file | 46 windows | |
Image training labels | JSON file | 46 windows | |
Image testing data | NPY file | 8 windows | |
Image testing labels | JSON file | 8 windows | |
Object detection model | TensorFlow Lite (float32) | 82 KB | |
Object detection model | TensorFlow Lite (int8 quantized) | 56 KB | |
Object detection model | TensorFlow SavedModel | 186 KB | |
Object detection model | Keras h5 model | 88 KB |
Clone project
You are viewing a public Edge Impulse project. Clone this project to add data or make changes.
Summary
Data collected
54 itemsProject info
Project ID | 116569 |
Project version | 1 |
License | No license attached |