This is a source code that tests 8 experiments of 4 datasets in the aim of classifying plants to thier crop classes
By SEDDIK Hadjer & ABLA Hanane
Supervised by Dr BRAHIMI Mohamed
Dependencies must called before writting your scripts :
Tensorflow , Keras , Keras_applications, Keras_models, numpy,os,pandas
--> find more details about the needed librairies in in ' Train/..DataSet/Text_experiments'
1- Clone the repository
2- From the train folder you find four different Datasets , choose one
3- Using Google Colab create a new notebook and type your code there , find scripts in ' train/..DataSet/Test_experiments'
4- Find Datasets link in Train/..DataSet/DataSet , import it directly from Google Drive
5- About the models architectures you can use the direct drive link for each model , find it in ' train/..DataSet/Architecture '
6- And here you go ready to train your model
7- Evaluate your test experiments and store the dataframe result and the plots in a drive directory
You can use any part of this code in your projects