利用深度学习实现花果图像识别； Flower and fruit image recognition using deep learning

Low-cost industrial fruit classifier. uses state-of-the-art artificial vision technology to accurately and efficiently sort and grade fruits. The system is capable of identifying and distinguishing between different types and sizes of fruits

Clustering Fruits 360 dataset with deep feature extraction

Fruit Classification using TensorFlow-Keras on Fruits 360 dataset

This repository contains the code related to the paper "Stop overkilling simple tasks with black-box models, use more transparent models instead"

Machine Learning with Streamlit Python

FruitNutritionDetector: FastAPI-based API for Fruit Detection and Nutritional Information Retrieval using ImageAI and USDA API. Detect fruits from images and fetch detailed nutritional data.

A boring 33 class fruit classifier.

AI-Driven Smart Fruit Classifier