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Detection of Flower Using Deep Learning Technique

	International Journal of Scientific Research and Engineering Development (IJSRED)	Full Text:
	Published Issue : Volume-3 Issue-5
	Year of Publication : 2020
	Unique Identification Number : IJSRED-V3I5P40
	Authors : Prof.V.A.Patil, P.P.Navgire, A.G.Bhosale, P.N.Asabe
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Abstract :

we have developed a deep learning network for classification of different flowers. For this,we have used Visual2 Geometry Group`s 5 category flower data-set having 100 images of 5 categories from Oxford University.For a given RGB images in the images. For this, first the images is segmented using a segmentation method.The background will be removed and the image will have only the subject of i2nterest with no background.These segmented images are then given to the CNN as input images for training. Therefore, the proposed method is divided into two main parts; segmentation and fine-tuning the deep convolution neural network. For fine-tuning the CNN, we have used the ImageNet ILSVRC pre-trained models submitted to the competition.