# raoofnaushad/Land-Cover-Classification-using-Sentinel-2-Dataset

<https://repo.masters-masters.com/repos/raoofnaushad/Land-Cover-Classification-using-Sentinel-2-Dataset>

[Accueil](https://repo.masters-masters.com/) › [raoofnaushad](https://repo.masters-masters.com/owners/raoofnaushad) › [Land-Cover-Classification-using-Sentinel-2-Dataset](https://repo.masters-masters.com/repos/raoofnaushad/Land-Cover-Classification-using-Sentinel-2-Dataset)

raoofnaushad/Land-Cover-Classification-using-Sentinel-2-Dataset, dépôt open source à 105 étoiles sur GitHub. Carte Prototype de RepoMasters.

| Champ | Valeur |
| --- | --- |
| Propriétaire | [raoofnaushad](https://repo.masters-masters.com/owners/raoofnaushad) |
| Étoiles | 105 |
| Forks | 32 |
| Langage | [Jupyter Notebook](https://repo.masters-masters.com/languages/jupyter-notebook) |
| Licence | MIT |
| Création | 2020 |
| Sujets | geospatial, data-science, satellite-imagery, geospatial-data, transfer-learning, deep-learning, machine-learning, sentinel-2, land-cover-classification, land-use-classification |
| Rang | [Prototype (100 à 249 ★)](https://repo.masters-masters.com/ranks/rush) |
| Voir sur GitHub | [raoofnaushad/Land-Cover-Classification-using-Sentinel-2-Dataset](https://github.com/raoofnaushad/Land-Cover-Classification-using-Sentinel-2-Dataset) |

## Fiche du dépôt

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.

Rang des dépôts qui ont 100 à 249 ★ sur GitHub. Probabilité publiée par carte tirée : 70 %. Rareté : Commune.

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Données : GitHub · Illustration dessinée par RepoMasters à partir de l’identifiant du dépôt et de la couleur de son langage.