Fruits Classification using Convolutional Neural Network

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Fruits Classification using...

Fruits Classification using Convolutional Neural Network

Md. Forhad Ali

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A new method for classifying fruits using convolutional neural network algorithm is proposed in this paper. The above listed results were obtained using 7 test samples taken out from the actual number of 180 and 20 images used for training and testing. The above algorithm was coded and tested using anaconda software. Different fruits varieties that had different backgrounds were taken for training and testing. The proposed algorithm gave 98% accuracy rate. This paper explores a fruits classification based on CNN algorithm. The accuracy and loss curves were generated by using various combinations of hidden layers for five cases using fruits-360 dataset. This paper deals various methods and algorithms used for fruit recognition and classification based on computer vision approach. CNN better performance to attain better fruit classification.

Volume:

Année:

2020

Edition:

Editeur::

GRD Journals- Global Research and Development Journal for Engineering

Langue:

english

Pages:

ISBN:

24555703

Fichier: