Classification Herb Leave

Classification using Convolutional Neural Network with VGG16 Architecture + Fine Tuning
Only run with 10 epoch because limitations of my laptop ^ . ^
you can run more than 50 epoch to get better result.

While using only CNN Architecture :

• Accuracy : 84.57%
  
• Loss : 68.04%
  

Using VGG16 Architecture + Fine Tuning:

• Accuracy : 94.17%
  
• Loss : 46.12%
  

Data

get data using this link https://data.mendeley.com/datasets/s82j8dh4rr

Cite

Minarno, Agus Eko; Wicaksono, Galih Wasis; Azhar, Yufis; Hasanuddin, Muhammad Yusril (2022), “Indonesian Herb Leaf Dataset 3500”, Mendeley Data, V1, doi: 10.17632/s82j8dh4rr.1