Kutluhan Aktar / IoT AI-assisted Deep Algae Bloom Detector
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About this project
This object detection (FOMO) model detects potential deep algal bloom:
- deep_algae
After building my object detection (FOMO) model, I deployed my model as a Linux ARMv7 application and uploaded the generated application to Raspberry Pi so as to run inferences.
Download block output
| Title | Type | Size | |
|---|---|---|---|
| Image training data | NPY file | 70 windows | |
| Image training labels | JSON file | 70 windows | |
| Image testing data | NPY file | 10 windows | |
| Image testing labels | JSON file | 10 windows | |
| Object detection model | TensorFlow Lite (float32) | 81 KB | |
| Object detection model | TensorFlow Lite (int8 quantized) | 55 KB | |
| Object detection model | TensorFlow SavedModel | 186 KB | |
| Object detection model | Keras h5 model | 87 KB |
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Summary
Data collected
80 itemsProject info
| Project ID | 172984 |
| Project version | 1 |
| License | Apache 2.0 |
