Image Classification Based On Convolutional Neural Networks Using Tensorflow
Volume 5 - Issue 3, March 2022 Edition
[Download Full Paper]
Manish U, Karthik Iyer, Md Farhan khan, Nehtravathi.B, Dayananda P
Tensorflow, CNN, Image Identification.
The purpose of this research is to use Tensorflow, a Python tool, to detect images using Convolutional Neural Networks. The input data focuses primarily on plant categories, and leaves are used to identify them. Since CNN consistently gives better results in automated plant identification, it is the best method to use for training and testing data.
. Mohd Azlan Abu1, Nurul Hazirah Indra1, Abdul Halim Abd Rahman1, Nor Amalia Sapiee1 and Izanoordina Ahmad1, ―A study on Image Classification based on Deep Learning and Tensorflow‖. International Journal of Engineering Research and Technology. ISSN 0974-3154, Volume 12, Number 4 (2019), pp. 563-569
. Antony Jobina,*, Madhu S. Nairb, Rao Tatavarti, Plant Identification Based on Fractal Refinement Technique(FRT). 2nd International Conference on Communication, Computing & Security [ICCCS-2012]
. Trishen Munisami, Mahess Ramsurn, ―Plant leaf recognition using shape features and colour histogram with k-nearest neighbor classifiers‖. Second International Symposium on Computer vision and the Internet(VisionNet‖15).
. Shitala Prasad, Piyush Kumar, R. C. Tripathi, ―PlantLeaf Species Identification using Curvelet Transform‖. International Conference on Computer & Communication Technology (ICCCT)-2011.
. Nataliia Kussul, Mykola Lavreniuk, Sergii Skakun, and Andrii Shelestov, ―Deep Learning Classification of Land Cover and Crop Types Using Remote Sensing Data‖ IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, VOL. 14, NO. 5, MAY 2017.