Kutluhan Aktar / Tree Disease Identifier
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About this project
Project Description
This object detection (FOMO) model detects potential tree diseases (foliar and bark) by utilizing two labels:
- leaf_rust_spot_blister
- stem_bark_branch_mildew
After building my object detection (FOMO) model, I deployed my model as a Linux x86_64 application and uploaded the generated application to LattePanda 3 Delta 864 so as to run inferences.
Download block output
| Title | Type | Size | |
|---|---|---|---|
| Image training data | NPY file | 199 windows | |
| Image training labels | JSON file | 199 windows | |
| Image testing data | NPY file | 10 windows | |
| Image testing labels | JSON file | 10 windows | |
| Object detection model | TensorFlow Lite (float32) | 82 KB | |
| Object detection model | TensorFlow Lite (int8 quantized) | 56 KB | |
| Object detection model | TensorFlow SavedModel | 187 KB | |
| Object detection model | Keras h5 model | 88 KB |
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Summary
Data collected
199 itemsProject info
| Project ID | 139523 |
| Project version | 1 |
| License | No license attached |
