Flower types classification

Keywords: Flower, types

Background

Flower types can be classified by observing the different kinds of images as there are different kinds of features present in the images and they contribute to analyzing the images. Flowers classification will be helpful in observing the various categories of the images, this evaluation will help in separating the different kinds of flowers present in the market. The authors have performed the prediction using 5 different kinds of images and these images are present in the jpg format. These images can be loaded into the Jupyter Notebook using the glob library and these can be helpful in converting the pixel values of the image into an array format. Overall, the author has tried to apply the CNN techniques, and these have used some convolutional layers to find the important features present in the image. After analysing the important features of the image there have been different predictions performed. Overall, the author has achieved an accuracy score of 76%.

Aim & Objectives

Aim
To Classify the image of a Flower Using DL techniques
Objective

Utilize an ANN model to classify different flower types, enhancing botanical studies and species recognition.
Develop an ANN system that analyzes flower images to accurately classify and identify various floral species.
Evaluate the ANN's classification accuracy, aiming to provide reliable and precise flower species recognition for researchers and enthusiasts.

Research Methodology

ANN Technique used

Software & Tools

Jupyter, Google Collab

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