Projet de Classification d'Images de Fruits

A dataset containing images of various fruits for training fruit recognition models using machine learning techniques.

A deep learning project using CNNs to classify fruits and vegetables images, built with TensorFlow and Keras, showcasing image recognition and model training.

This project builds a custom Convolutional Neural Network from scratch using TensorFlow/Keras to recognize objects from a randomly chosen image dataset (e.g., fruits/animals). It includes image preprocessing, CNN architecture design, training, evaluation, and visualization to demonstrate core object recognition concepts.