🌸 iOS11 demo application for flower classification.
-
Updated
Mar 24, 2024 - Swift
🌸 iOS11 demo application for flower classification.
Classification of flowers from Oxford Flowers 102 dataset
Repository with code for PyTorch Challenge Lab
Udacity Data Science Nanodegree program, deep learning on Pytorch, image classification (flowers)
Flutter Android & iOS Flowers Recogniser App [Deep Learning & Machine Learning]
This is a repository built during Pytorch Facebook course on Udacity Phase - I
Transfer learning with VGG16 and VGG19, the simpler way!
Image Classifications: Flowers Recognition
Orchid2024: A cultivar-level dataset and methodology for fine-grained classification of Chinese Cymbidium Orchids.
This project is made using Pete Warden's TensorFlow for Poets and TensorFlow for Mobile Poets tutorials.
Classification of flowers from Kaggle Dataset using Deep Convolutional Neural Network (CNN)
A modern javascript toolkit to search about plants on open data
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 ne…
RMIT Vietnam, Semester 2023A - COSC2753 Machine Learning - Assignment 2
Irish Flower-classification
How to train and verify flowers by using CNN based on tensorflow?
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).
Implementation of MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
Implementations of various deep learning models for classifying flower images
Add a description, image, and links to the flower-classification topic page so that developers can more easily learn about it.
To associate your repository with the flower-classification topic, visit your repo's landing page and select "manage topics."