https://github.com/tanishkamarrott/multi-fruit-classifier-using-cnn
Multi-Fruit Classifier using Convolutional Neural Networks
https://github.com/tanishkamarrott/multi-fruit-classifier-using-cnn
Last synced: 7 months ago
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Multi-Fruit Classifier using Convolutional Neural Networks
- Host: GitHub
- URL: https://github.com/tanishkamarrott/multi-fruit-classifier-using-cnn
- Owner: TanishkaMarrott
- Created: 2021-07-06T09:53:34.000Z (over 4 years ago)
- Default Branch: main
- Last Pushed: 2021-07-06T09:59:40.000Z (over 4 years ago)
- Last Synced: 2025-01-27T13:48:16.646Z (8 months ago)
- Language: Jupyter Notebook
- Size: 126 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# Multi-Fruit-Classifier-using-CNN
Multi-Fruit Classifier using Convolutional Neural Networks
This project aims to build a Deep Neural Network to correctly classify a set of 17 kinds of fruits from the Kaggle Fruits-360 dataset. A fruit recognition process usually consists of three steps which are image acquisition, pre-processing, and image analysis. The result of the proposed method has a fairly good classification accuracy of 97.40% for the 17 classes of 2849 fruit images, indicating that the proposed method could perhaps be used in agro-based applications.