# BEFinalProject

**Repository Path**: lorihuang/BEFinalProject

## Basic Information

- **Project Name**: BEFinalProject
- **Description**: No description available
- **Primary Language**: Unknown
- **License**: Not specified
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2021-06-02
- **Last Updated**: 2021-06-02

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# BEFinalProject
* A fruit detection and quality analysis using Convolutional Neural Networks and Image Processing. 
* Dataset sources: Imagenet and Kaggle.
* Applied *GrabCut* Algorithm for background subtraction.
* Applied various transformations to increase the dataset such as scaling, shearing, linear transformations etc.
* Trained the models using Keras and Tensorflow.
* Training accuracy: 94.11% and testing accuracy: 96.4%