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https://github.com/veeqtoh/corossion-detection
Welcome to Underwater Corossion Detection! In this project, I will use Python to manipulate complex data streams (mainly images) and present classification results based on state-of-the-art machine learning methods.
https://github.com/veeqtoh/corossion-detection
deep-learning deep-neural-networks image-classification image-processing image-recognition
Last synced: 21 days ago
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Welcome to Underwater Corossion Detection! In this project, I will use Python to manipulate complex data streams (mainly images) and present classification results based on state-of-the-art machine learning methods.
- Host: GitHub
- URL: https://github.com/veeqtoh/corossion-detection
- Owner: veeqtoh
- Created: 2023-07-20T18:30:04.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2023-07-28T15:25:16.000Z (over 1 year ago)
- Last Synced: 2024-01-27T20:04:32.856Z (about 1 year ago)
- Topics: deep-learning, deep-neural-networks, image-classification, image-processing, image-recognition
- Language: Jupyter Notebook
- Homepage:
- Size: 1.99 MB
- Stars: 1
- Watchers: 3
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# corossion-detection
Welcome to Underwater Corossion Detection! In this project, I experimented with and compared the performance of two classifiers - A Non-neural classification (SVM) and a Neural network classification (MLP).
I reflected on their results and went on Improving the results from the better classifier with Tensorflow image augmentation.
I then went on to train a Neural network model to classify underwater images.