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# System prepended metadata

title: PM 21.11.2023

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# PM 21.11.2023

Additional DenseNet
![image](https://hackmd.io/_uploads/r1Zr9KuNa.png)

* Dataset Sugarcane 
![image](https://hackmd.io/_uploads/rycWfiONa.png)

* Comparison of images in the train and test folders 80 : 20. 
* Image test files are divided into 2 folders test and Validation
    *  Data Train 2400 image in 9 classes
    * Data Test 301 image in 9 classes
    * Data Val 300 image in 9 classes
* size image 224x224 
* Epoch 10
* Clasiffication Model (Accuracy)
![image](https://hackmd.io/_uploads/H1_DmB3VT.png)
![image](https://hackmd.io/_uploads/S1pEEB2VT.png)

* Clasiffication Model in Confusion Matrix
![image](https://hackmd.io/_uploads/HJqh7B2Va.png)

Homework:
using 80:20 or 60:40 
paper about severity
Image with more background and more one leaf in one image
how to make/determine (clue) severity



