Skip to content

Latest commit

 

History

History
41 lines (24 loc) · 1.08 KB

README.md

File metadata and controls

41 lines (24 loc) · 1.08 KB

Bank Recognition Classification

It is a short project of bank recognition classification using Machine Learning approach which include SVM, KNN, MLP and use Tkinter framework as UI.

Dataset

Cropped image in respectively file in the All_images

Code

Label_from_images.ipynb is to label the image and save it to the csv file for machine learning training purpose.

Project_2_H5_File.ipynb is to store the flatten images and label into h5 file.

save_trainmodel_Pickle.ipynb is to store the trained model into independent pickle file which help to use the model for prediction.

Others

Picture.h5 is the original dataset and labeled for training purpose.

model_KNN.p trained KNN model.

model_MLP.p trained MLP model.

model_SVM.p trained SVM model.

Run the script

python assignment.py

Result

The overview of the Tkinter UI

content of Result!

Select the image by clicking the button

content of Result2!

Terminal result after predicting using machine learning

content of Result3!