https://github.com/vijay-varadarajan/flower-recogniser

A neural network model using tensorflow to recognize images of flowers and classify them as - daisy / dandelion / rose / sunflower / tulip.
https://github.com/vijay-varadarajan/flower-recogniser

image-classification machine-learning opencv prediction-model python streamlit

Last synced: 5 days ago
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A neural network model using tensorflow to recognize images of flowers and classify them as - daisy / dandelion / rose / sunflower / tulip.

• Host: GitHub
• URL: https://github.com/vijay-varadarajan/flower-recogniser
• Owner: vijay-varadarajan
• Created: 2023-07-10T16:59:28.000Z (over 1 year ago)
• Default Branch: main
• Last Pushed: 2025-01-02T08:15:54.000Z (about 1 month ago)
• Last Synced: 2025-01-02T09:26:08.228Z (about 1 month ago)
• Topics: image-classification, machine-learning, opencv, prediction-model, python, streamlit
• Language: Jupyter Notebook
• Homepage:
• Size: 231 MB
• Stars: 1
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Flower recognition

App link: [Flower classifier](https://flower-recognition-5.streamlit.app/)

A neural network model to identify the image of a flower and classify it into one of the five classes - daisy/dandelion/rose/sunflower/tulip.

This is a tranfer learning model that uses the pretrained mobilenet from tensorflow to recognize flowers.

The model performs well with **97%** accuracy on training data and **91%** accuracy on test data.