Flower Classification Based On Deep Learning Using Tensorflow

Abstract

Deep Learning, one of the incipient word extensively used in various domains and sectors for past few years. In this work, classification model developed for recognizing 5 types of flowers using CNN algorithm. Around 3670 images were taken to test the algorithm and the outcome is fine-tuned with Google net to attain the best accuracy result. The flowers such as daisy, dandelion, rose, tulip and sunflower are taken from the dataset for testing and implementation. The result is compared with the traditional algorithm and with CNN and proved the better accuracy is obtained in CNN based classification.