# TachibanaYoshino/Remote-sensing-image-semantic-segmentation

<https://repo.masters-masters.com/en/repos/TachibanaYoshino/Remote-sensing-image-semantic-segmentation>

[Home](https://repo.masters-masters.com/en) › [TachibanaYoshino](https://repo.masters-masters.com/en/owners/TachibanaYoshino) › [Remote-sensing-image-semantic-segmentation](https://repo.masters-masters.com/en/repos/TachibanaYoshino/Remote-sensing-image-semantic-segmentation)

TachibanaYoshino/Remote-sensing-image-semantic-segmentation has 141 stars on GitHub. Its RepoMasters card: Prototype tier. The project uses Unet-based…

| Field | Value |
| --- | --- |
| Owner | [TachibanaYoshino](https://repo.masters-masters.com/en/owners/TachibanaYoshino) |
| Stars | 141 |
| Forks | 39 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | None |
| Created | 2019 |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [TachibanaYoshino/Remote-sensing-image-semantic-segmentation](https://github.com/TachibanaYoshino/Remote-sensing-image-semantic-segmentation) |

## Repository

The project uses Unet-based improved networks to study Remote sensing image semantic segmentation, which is based on keras.

The tier for repos with 100 to 249 ★. Published odds per card pulled: 70%. Rarity: Common.

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.