Skip to content

ndvinh98/CS331.K11-FlowersClassification

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

17 Commits
 
 
 
 
 
 
 
 
 
 

Repository files navigation

CS331.K11 Flowers Classification

Using pre-trained model VGG16 to extract features of image.

Training on linearSVM, SVM with Polynomial Kernel, SVM with Gaussian Kernel and Softmax to classify the following 5 types of images: Rose, Daisy, Dandelion, Sunflower and Tulip

link dataset: https://www.kaggle.com/alxmamaev/flowers-recognition

How to use?

Creating 'ML' folder in Drive and upload dataset.zip

Creating 'backup' folder in 'ML'

Using Google Collapse to connect to Drive for training.

About

Classifying the following 5 types of flowers: Rose, Daisy, Dandelion, Sunflower and Tulip

Topics

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published