Simple Flask web app able to distinguish between real world images of Apples, Bananas, Oranges with predicting weather the fruit in image is Fresh or Rotten with respective probabilities on real-time hosted web service (Heroku)

Using an algorithm that allows it to distinguish fruit images by type of fruit.

Fruit Classification using CNN

Fresh rotten fruit classification using mobilenetv2 architecture

Using Alexnet Architecture for Multiclass Fruit Classification

Deep learning model (Fruit Classification Model) deployment using Flask and HTML

Fruit Classification Model that demonstrate how to perform fruit classification. The model is trained to classify different types of fruits from images.

A lightweight and efficient computer vision solution for classifying various fruits using MobileNetV2 and transfer learning. Includes robust data preprocessing pipelines, clear repository structure, and detailed documentation for easy collaboration.

This project aims to classify different types of fruits using deep learning. The objective is to build a model that can accurately identify the type of fruit based on images.

Leveraging machine learning for precise fruit classification with advanced preprocessing and algorithm optimization.