This repository contains a Fruit Classification project implemented using a Convolutional Neural Network (CNN) in Python.
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
numpy ,sklearn -> preprocessing Tensorflow keras openCV2 seaborn -> Data Visualization