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Flower Identification Using Machine Learning

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dc.contributor.author Rahman, Md. Mizanur
dc.contributor.author Khan, Akash Ahmed
dc.contributor.author Shameem, Md. Baher Uddin
dc.date.accessioned 2019-07-02T06:06:38Z
dc.date.available 2019-07-02T06:06:38Z
dc.date.issued 2018-12-11
dc.identifier.uri http://hdl.handle.net/123456789/2626
dc.description.abstract Beauty is incomplete without flower. Bangladesh is the land of flower. In our everyday life, On the way of walking, beside the rail line or in our garden we used to see a lot of flower. But in most case we have no knowledge about that flower. Even we don’t know its name. In that case we choose this idea to research and develop our project. That will introduce people about that unknown flower which they see but don't know about that. Our developed application recognizes the flower in real time by using mobile camera. This project is an attempt at using the concepts of neural networks to create an image classifier by Tensorflow on Android platform. Convolutional neural networks are a popular realm of machine learning, and are widely used in image classification. So that we choose this topic to research about image classification by CNN and Tensorflow. Though we developed an application of our research project but we have a lot of plan to do more research to upgrade our system. en_US
dc.language.iso en_US en_US
dc.publisher Daffodil International University en_US
dc.relation.ispartofseries ;P11734
dc.subject Computer Science en_US
dc.subject Android en_US
dc.subject Flower Automation en_US
dc.subject Machine Learning en_US
dc.title Flower Identification Using Machine Learning en_US
dc.type Working Paper en_US


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