Topic: fruit-recognition Goto Github
Some thing interesting about fruit-recognition
Some thing interesting about fruit-recognition
fruit-recognition,An Api thats collects data from an image and returns the descriptive properties
User: adexandria
Home Page: https://fruitapi.azurewebsites.net/index.html
fruit-recognition,Image segmentation model for checking apple quality using UNet model architecture on TensorFlow along with AWS SageMaker deployment.
User: ajnavneet
fruit-recognition,Robust fruit detection system using YOLOv4.
User: ajnavneet
fruit-recognition,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.
User: ankushrathour
fruit-recognition,Reconnaissance des fruits en utilisant les modéles de deep learning: Resnet, Vgg16, MobileNetV2, CNN personalisé
User: dija98
fruit-recognition,Predict food (Fruits and Vegetables) images using Python
User: hamzaezzine
fruit-recognition,Classification using fruits360 from kaggle, and applying ML techniques
User: hkholic13
fruit-recognition,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
User: ineso1
fruit-recognition,Artificial Neural Network in Web Assembly, C++ Core & Interactive Website.
User: izzat5233
Home Page: https://izzat5233.github.io/fruit-classifier-wasm/
fruit-recognition,A boring 33 class fruit classifier.
User: jithlord
fruit-recognition,CNN is used to build a deep learning model for the prediction of fruits. Total of 31 different fruits classes are there
User: kumar-rishav3101
fruit-recognition,Mobile application developed for detecting quality of fruits.
User: kunal-attri
fruit-recognition,Fruit Classifier (Support Vector Machine vs KNN) using thresholding and Intensity Rescaling
User: lafifii
fruit-recognition,This repository contains the code related to the paper "Stop overkilling simple tasks with black-box models, use more transparent models instead"
User: matteo-rizzo
fruit-recognition,Fruit Classification using TensorFlow-Keras on Fruits 360 dataset
User: meamarp
fruit-recognition,This is my assignment 3 recognition system
User: nadyadtm
fruit-recognition,This is the same one as before, but I use deep learning
User: nadyadtm
fruit-recognition,Fruit image classifier made with Keras VGG19 transfer learning and flask.
User: niels-baptist
fruit-recognition,Página de apresentação do projeto de frutas e vegetais
Organization: projeto-frutas-vegetais-programa-k
Home Page: https://projeto-frutas-vegetais-programa-k.github.io/Projeto_Frutas_e_Vegetais/
fruit-recognition,Using Alexnet Architecture for Multiclass Fruit Classification
User: ps-priyanka
fruit-recognition,Machine Learning with Streamlit Python
User: roblnk
fruit-recognition,Ripeness Palm Oil with deep learning model
User: ryanalpha
fruit-recognition,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.
User: siddiquizainab
fruit-recognition,This project is about Fruits-Vegetables classification application which is built using Deep Learning + Streamlit.
User: spidy20
fruit-recognition,AI-Driven Smart Fruit Classifier
User: talhafarook
fruit-recognition,Clustering Fruits 360 dataset with deep feature extraction
User: vishalbharti1990
fruit-recognition,利用深度学习实现花果图像识别; Flower and fruit image recognition using deep learning
User: xunik8
fruit-recognition,Fruit Classification using CNN
User: yogeshkanwade21
Home Page: https://www.kaggle.com/yog3sh01/fruit-classification-using-cnn
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