https://github.com/steveee27/fruit-classification-with-vgg-16-architecture

This project classifies fruit images into four categories: Acai, Acerola, Apple, and Avocado. Using Convolutional Neural Networks (CNN), it predicts fruit types with VGG-16. The model is optimized with data augmentation, dropout, and batch normalization for better performance and accuracy.

cnn deeplearning fruitclassification imageclassification transferlearning vgg16

Last synced: 18 Apr 2026