Kutluhan Aktar / Poultry Feeder and Unhatched Egg Tracker
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 tracks (counts) the unhatched eggs and detects the poultry feeder status in the coop by utilizing two labels:
- Egg
- Feeder
After building my object detection (FOMO) model, I deployed my model as an OpenMV firmware and flashed OpenMV Cam H7 with the generated firmware so as to run inferences.
Download block output
| Title | Type | Size | |
|---|---|---|---|
| Image training data | NPY file | 61 windows | |
| Image training labels | JSON file | 61 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 | 185 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
69 itemsProject info
| Project ID | 134829 |
| Project version | 1 |
| License | No license attached |
