This project is for the Identification of Iris flower species is presented

PyTorch Scholarship Challenge from Facebook / Deep Learning / CNN / Flowers Classification

Flutter Android & iOS Flowers Recogniser App [Deep Learning & Machine Learning]

encyclo-flower.com site

Automated flower species classification for generating honey-bee foraging maps from drone imagery

Project based about a flower shop

Classifying Flowers using Transfer Learning and Data Augmentation

Flowers classification app using Deep Neural Networks

Flower classification using CNNs

Used normal neural networks and convolutional neural networks in many many data like animals, fashion, flowers classification, and also temperature predictions and time-series. Have fun. BTW used tensorflow for the works.

This project uses a deep CNN for classifying images from the Flowers-102 dataset. I employed cross-entropy loss for accurate classification and AdamW optimizer for stable training. Data augmentation techniques like random flips and rotations are used to enhance model generalization.

Image Classification modelling for the Oxford-Flowers102 dataset. Looking at a model that predicts new flower images based on the already pre-trained categories, with relative high accuracy.

This Image Classification model helps you to recognized 102 kinds of flowers that are provided my Oxford University. I am using famous 102 oxford flower dataset.

Creating a model to classify Iris flowers by their measurements

Utilizing transfer learning to build a model that can classify 102 different flower species

An automated flower classification using machine learning and TDA (Still under development)

In this Internship, I was given some tasks related to day-to-day problems we face in our practical life and how to evaluate those using machine learning models.

Transfer learning: presentation and practical tutorial

Classifying Flowers on the basis of their images with the help of a simple CNN 🤖