flower-classification
There are 2 repositories under flower-classification topic.
cocoa-ai / FlowersVisionDemo
🌸 iOS11 demo application for flower classification.
Language:Swift 100silviomori / udacity-deeplearning-pytorch-challenge-lab
Repository with code for PyTorch Challenge Lab
Language:Jupyter Notebook 22Kusainov / udacity-image-classification
Udacity Data Science Nanodegree program, deep learning on Pytorch, image classification (flowers)
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souravs17031999 / FLOWER-CLASSIFIER-WEBAPP
This is a repository built during Pytorch Facebook course on Udacity Phase - I
Language:Jupyter Notebook 9oleksandr-g-rock / flower_classification
Image Classifications: Flowers Recognition
Language:Jupyter Notebook 7codingcafe1 / flowers
Flutter Android & iOS Flowers Recogniser App [Deep Learning & Machine Learning]
Language:Dart 6koushikkumarl / TransferLearning_Vgg16-19
Transfer learning with VGG16 and VGG19, the simpler way!
Language:Jupyter Notebook 6adityamehra / Flower-Classification
This project is made using Pete Warden's TensorFlow for Poets and TensorFlow for Mobile Poets tutorials.
Language:Objective-C++ 4apurva-modi / Flower-classification
In this competition, we’re challenged to build a machine learning model that identifies the type of flowers in a dataset of images (for simplicity, we’re sticking to just over 100 types).
Language:Jupyter Notebook 3avBuffer / FlowerDetect_tensorflow
How to train and verify flowers by using CNN based on tensorflow?
Language:Python 3miketvo / rmit2023a-cosc2753-assignment2
RMIT Vietnam, Semester 2023A - COSC2753 Machine Learning - Assignment 2
Language:Jupyter Notebook 3Nguyendat-bit / MobilenetV1
Implementation of MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
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sankalpjain99 / Flower-Species-Classifier
Trained an image classifier to identify a total of 102 flower species. Data Augmentation was used to bring variety in the dataset. I also made a command-line interface for training and testing our model with various parameters using the ArgumentParser library in Python. Transfer Learning with VGG16 and Densenet121 was used to train our neural network using PyTorch.
Language:Jupyter Notebook 3Vibashan / Flower_Classification
Classification of flowers from Kaggle Dataset using Deep Convolutional Neural Network (CNN)
Language:Python 3AlkaSaliss / whichFlower
# whichFlower : a flower species recognition app using tensorflow/keras and React-Native
Language:Jupyter Notebook 2Depth-Semantic-Aware-Image-Generation / TBrain_Orchid-Classification-Competition
The competition on the TBrain platform involves using artificial intelligence, machine learning, and deep learning to train high-accuracy orchid image recognition models.
Language:Python 2Garvit-k / flower-classifier
Flower Classification into 5 classes : daisy, dandelion, rose, sunflower & tulip using keras library
Language:Jupyter Notebook 2guptaharshnavin / DeepFlowerNet-Flower-Recognition-Using-Keras
Recognition of type of Flower from image using CNN, using Keras with Tensorflow backend
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Siddhipatade / Irish-Flower
Irish Flower-classification
Language:Jupyter Notebook 2SINGHxTUSHAR / FloraVision
In this Project we classify different categories of Flowers using a Pre-Trained model and also using the functionality of Streamlit Application to build an API or frontend for the Project along with the various libraries of python for proper functioning of Model.
Language:Python 296ibman / streamlit-flower-recognition
Streamlit Application for Flower Recognition using MobileNet
Language:Python 1abdullah-abunada / image_classification
The goal of this project is to build a web application that will be trained on a set of labeled flower images to make predictions on the given input.
Language:JavaScript 1Baccega / flower-classifier
🌷🧠 A convolutional neural network coded in Python, using PyTorch, to classify Oxford's 102 Category Flower Dataset
Language:Jupyter Notebook 1cavadibrahimli1 / Flower_Recognition_using_CNN_MobilenetV2
Welcome to the Flower Recognition Using Convolutional Neural Network project! This repository features a deep learning model designed to accurately classify and recognize different flower species using Convolutional Neural Networks (CNNs). The project utilizes the MobileNetV2 architecture for its efficiency in image recognition tasks.
Language:Jupyter Notebook 1DeepthiSudharsan / flower-flask
Flower Classification - Flask, Docker and Postman Practice
Language:Python 1firaja / flowers-classification
Classification of flowers from Oxford Flowers 102 dataset
Language:TeX 1kalthommusa / Flower-Image-Classifier
Project-2 of Udacity's Introduction to Machine Learning with TensorFlow Nanodegree. "Flower Image Classifier" is a Deep Learning Project with TensorFlow that aims to build a Keras model that accurately predicts the type of a particular flower among 102 different flower types, and then converts the developed image classifier into a command-line application.
Language:HTML 1lnx2000 / flower_102_keras
model for flower classification flower_102 dataset (without using pretrained models)
Language:Python 1NajiAboo / CNN_Architecutre_Comparison
Comparing 5 different CNN architectures for MNIST, CIFAR 10 and Flower dataset
Language:Jupyter Notebook 1nikita-bachhas / IoTCourseProject
Users can take or upload any image of a flower and the type of flower is recognised and returned
Language:Java 1quocthang0507 / FlowerImageClassification
Classify flower images using ML.NET library
Language:C# 1ramiyappan / Kmeans-scratch
Predict the type of flower based on standard Iris dataset and deal with Image data (pixels) to predict hand-written digits (0-9) using K-Means Clustering Algorithm.
Language:Python 1thearyanmittal / flower-classification
A tutorial Jupyter Notebook for creating a Convolutional Neural Network that can identify the type of flower in an image.
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