https://github.com/abdullah2020/hamoye_staged
This is my Stage_D Hamoye Internship project. The project focuses strongly in developing CNN Deep Learning algorithm model that would analysis huge image dataset.
https://github.com/abdullah2020/hamoye_staged
cnn-model deep deep-neural-networks image-classification
Last synced: 2 months ago
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This is my Stage_D Hamoye Internship project. The project focuses strongly in developing CNN Deep Learning algorithm model that would analysis huge image dataset.
- Host: GitHub
- URL: https://github.com/abdullah2020/hamoye_staged
- Owner: Abdullah2020
- Created: 2022-09-18T23:41:16.000Z (over 2 years ago)
- Default Branch: master
- Last Pushed: 2022-09-19T20:36:19.000Z (over 2 years ago)
- Last Synced: 2025-01-31T12:11:13.671Z (4 months ago)
- Topics: cnn-model, deep, deep-neural-networks, image-classification
- Language: Jupyter Notebook
- Homepage:
- Size: 2.09 MB
- Stars: 0
- Watchers: 1
- Forks: 1
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# Hamoye_StageD
In the part 2 of Stage_D Hamoye summer internship project, we built artificial intelligence algorithms to label satellite image chips with different atmospheric conditions and the different classes of land cover/land use. For this Multi-class Multi-Label problem, some of the labels are from the following categories:
* Cloud Cover (clear, partly, cloudy, haze)
* Primary RainForest, Water (rivers, lakes)
* Habitation (large city, small homes)
* Agriculture,
* Roads etc.
The algorithms from this project will enable us to understand where, how and why deforestation happens.
# Kaggle submission score
