Solving Image Classification problems.

Transfer Learning using Mobilenet model on a Flower Dataset

Cassifying flowers by type

Species classification challenge as part of a course on Artificial Neural Networks and Deep Learning

A simple flower classification 💮 python library

This project uses the K-NN algorith to classify flowers. Written in CPP.

A program to classify flowers using a decision tree

Final Project of the Udacity AI Programming with Python Nanodegree

Multi Class Flower Image classification

🌷 tulip - CNN classifying flowers from the Flower102 dataset

Git repo of a flower species detection project using Random Forest ML. Classifies species based on petal/sepal length & width. Includes Python code for training, prediction & evaluation. Accurate & efficient tool for automatic flower species identification.

Final Project of Udacity's PyTorch Scholarship Challenge Nanodegree Program

Using Tensorflow with EfficientNetB7, this models achieves 97% accuracy in classifying the 104 classes of flowers Trained with TPU

Machine Learning based flower recognition using VGG16 and Pytorch

Flutter application for recognizing 15 types of flower

Identify flower from an image using CoreML. Also fetches description and image of identified flower from Wikipedia.

A project made for internship at Coding Samurai

Flower Identifier IOS App 🌸

I built a Python application that trained an image classifier on an Oxford flower dataset to recognize different species of flowers, and then predicted new flower images using the trained model. This project is a starting point in the world of deep learning and neural networks, implemented here using Keras, TensorFlow and transfer learning techn…