Land Cover Classification Using Sentinel 2 Dataset
Application of deep learning on Satellite Imagery of Sentinel-2 satellite that move around the earth from June, 2015. This image patches can be trained and classified using transfer learning techniques.
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Land Cover Classification Using Sentinel 2 Dataset | 58 | 9 months ago | 1 | mit | Jupyter Notebook | |||||
| Application of deep learning on Satellite Imagery of Sentinel-2 satellite that move around the earth from June, 2015. This image patches can be trained and classified using transfer learning techniques. | ||||||||||
| Weather4cast | 25 | 2 years ago | Jupyter Notebook | |||||||
| Code accompanying our IARAI Weather4cast Challenge | ||||||||||
| Satellite_image_segmentation | 9 | 2 years ago | mit | Jupyter Notebook | ||||||
| Predicting land cover types using remote sensing data with computer vision. Used Convolutional Neural Networks to segment satellite imagery into different land type classes. | ||||||||||
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Jupyter Notebook
Deep Learning
Machine Learning
Data Science
Geospatial
Transfer Learning
Satellite Imagery