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https://github.com/shubhamatkal/oil-spill-detection-using-deep-learning
https://github.com/shubhamatkal/oil-spill-detection-using-deep-learning
Last synced: 9 days ago
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- Host: GitHub
- URL: https://github.com/shubhamatkal/oil-spill-detection-using-deep-learning
- Owner: shubhamatkal
- License: mit
- Created: 2024-02-04T13:46:52.000Z (11 months ago)
- Default Branch: main
- Last Pushed: 2024-02-04T15:07:10.000Z (11 months ago)
- Last Synced: 2024-03-01T11:49:16.875Z (10 months ago)
- Language: Jupyter Notebook
- Size: 42 MB
- Stars: 2
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# oilspill-detection-using-Deep-Learning
What I have done in this project:
1. We trained a model using CNN (pytorch) using google colab, link of notebook :
https://github.com/shubhamatkal/oil-spill-detection-using-deep-learning/blob/main/python%20notebook%20for%20training%20model/Oilspills_Detection_Model.ipynb
3. Using following dataset (500 images of oil spills from Instagram using web scraping):
https://github.com/shubhamatkal/oil-spill-detection-using-deep-learning/tree/main/data
4. Link for trained model: https://github.com/shubhamatkal/oil-spill-detection-using-deep-learning/blob/main/model/spill.pth
5. Application created using flask for interacting with model :
https://github.com/shubhamatkal/oil-spill-detection-using-deep-learning/
## Screenshots:
https://github.com/shubhamatkal/oil-spill-detection-iusing-deep-learning/assets/99415769/8830866e-626e-474d-a6f1-6a4e76d1464e