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Paper Details


Title
Flower Recognition Using VGG16
Author
, Mohammad Shamsul Arefin,
Email
Abstract

The purpose of our model is to classify five types of flowers from input images. The flowers are Sunflower, Rose, Tulip, Daisy, and Lavender. We have also built our own CNN model for the task and compared it with the modified VGG16 network. Our modified VGG16 model gives better accuracy than the existing works. We have achieved a test accuracy of 96.64% by using the proposed model. As the accuracy is quite good, we were able to recognize the flowers accurately. Agriculture institutes and flower nurseries can be benefitted by using this model.

Keywords
Flower recognition VGG16 Model Accuracy
Journal or Conference Name
Lecture Notes in Networks and Systems
Publication Year
2022
Indexing
scopus