https://github.com/kumpatlapavankumar/recognizing-flowers-with-convolutional-neural-networks
This project uses a Convolutional Neural Network (CNN) to classify flower images into five categories: Daisy, Dandelion, Rose, Sunflower, and Tulip. The model is trained on the Flowers Recognition dataset with image augmentation techniques to enhance generalization.
https://github.com/kumpatlapavankumar/recognizing-flowers-with-convolutional-neural-networks
cnn-keras coding data-science deep-learning enjoying flower-classification machine-learning numpy opencv2 pandas pathlib pillow python tensorflow testing training
Last synced: 2 months ago
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This project uses a Convolutional Neural Network (CNN) to classify flower images into five categories: Daisy, Dandelion, Rose, Sunflower, and Tulip. The model is trained on the Flowers Recognition dataset with image augmentation techniques to enhance generalization.
- Host: GitHub
- URL: https://github.com/kumpatlapavankumar/recognizing-flowers-with-convolutional-neural-networks
- Owner: Kumpatlapavankumar
- Created: 2025-07-01T05:19:39.000Z (3 months ago)
- Default Branch: main
- Last Pushed: 2025-07-12T16:40:45.000Z (3 months ago)
- Last Synced: 2025-07-12T18:41:53.384Z (3 months ago)
- Topics: cnn-keras, coding, data-science, deep-learning, enjoying, flower-classification, machine-learning, numpy, opencv2, pandas, pathlib, pillow, python, tensorflow, testing, training
- Language: Jupyter Notebook
- Homepage:
- Size: 338 KB
- Stars: 0
- Watchers: 0
- Forks: 0
- Open Issues: 0
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Metadata Files: