Tensorflow Based Image Classification using Advanced Convolutional Neural Network
Pradumn Kumar1, Upasana Dugal2
1Pradumn Kumar, Department of Computer Science & Engineering, Babu Banarasi Das University, Lucknow, India.
2Upasana Dugal, Department of Computer Science & Engineering, Babu Banarasi Das University, Lucknow, India.
Manuscript received on February 02, 2020. | Revised Manuscript received on February 10, 2020. | Manuscript published on March 30, 2020. | PP: 994-998 | Volume-8 Issue-6, March 2020. | Retrieval Number: F7543038620/2020©BEIESP | DOI: 10.35940/ijrte.F7543.038620
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: In this Research study image identifications will be done by the help of Advanced CNN (Convolutional Neural Networks with Tensorflow Framework. Here we use Python as a main programming language because Tensorflow is a python library. In this study input data mainly focuses on Plants categories by the help of leaves for identifications. Selecting CNN is the best approach for the training and testing data because it produces promising and continuously improving results on automated plant identifications. Here results are divided in terms of accuracy and time. Using advanced CNN results are above 95% while on others accuracy is below 90% and taking much time than this.
Keywords: Tensorflow, CNN, Image Identification.
Scope of the Article: Classification.