FruitClassification

This repository contains a Convolutional Neural Network (CNN) Model created using Python.

The project aims to classify fruits and vegetables images into 36 classes :

The CNN model is trained on a dataset of over 2800 images of fruits and achieves an accuracy of 90% on the validation set

Kaggle Dataset link : https://www.kaggle.com/datasets/kritikseth/fruit-and-vegetable-image-recognition

Our Model is implemented based on this research paper : https://link.springer.com/chapter/10.1007/978-3-030-49342-4_9

We applied the same Algorithm but on a different dataset

Used Libaries

numpy ,sklearn -> preprocessing Tensorflow keras openCV2 seaborn -> Data Visualization