plant-disease
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About this project
This project uses the New Plant Diseases Dataset to train and validate a classifier that can detect 9 different plant diseases on tomato plants. The total dataset is divided into a 80/20 ratio of training and validation data.
Download block output
| Title | Type | Size | |
|---|---|---|---|
| Image training data | NPY file | 18333 windows | |
| Image training labels | NPY file | 18333 windows | |
| Image testing data | NPY file | 4581 windows | |
| Image testing labels | NPY file | 4581 windows | |
| Transfer learning model | TensorFlow Lite (float32) | 906 KB | |
| Transfer learning model | TensorFlow Lite (int8 quantized) | 314 KB | |
| Transfer learning model | TensorFlow SavedModel | 908 KB | |
| Transfer learning model | Keras h5 model | 874 KB |
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Summary
Data collected
22,917 itemsProject info
| Project ID | 117043 |
| Project version | 1 |
| License | No license attached |
