# saizk/Deep-Learning-for-Solar-Panel-Recognition

<https://repo.masters-masters.com/en/repos/saizk/Deep-Learning-for-Solar-Panel-Recognition>

[Home](https://repo.masters-masters.com/en) › [saizk](https://repo.masters-masters.com/en/owners/saizk) › [Deep-Learning-for-Solar-Panel-Recognition](https://repo.masters-masters.com/en/repos/saizk/Deep-Learning-for-Solar-Panel-Recognition)

saizk/Deep-Learning-for-Solar-Panel-Recognition has 134 stars on GitHub. Its RepoMasters card: Prototype tier. CNN models for Solar Panel Detection and…

| Field | Value |
| --- | --- |
| Owner | [saizk](https://repo.masters-masters.com/en/owners/saizk) |
| Stars | 134 |
| Forks | 47 |
| Language | [Jupyter Notebook](https://repo.masters-masters.com/en/languages/jupyter-notebook) |
| License | MIT |
| Created | 2021 |
| Topics | solar-panels, image-segmentation, object-detection, cnn, computer-vision, deep-learning, google-maps, pv-systems |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [saizk/Deep-Learning-for-Solar-Panel-Recognition](https://github.com/saizk/Deep-Learning-for-Solar-Panel-Recognition) |

## Repository

CNN models for Solar Panel Detection and Segmentation in Aerial Images.

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.