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https://github.com/furk4nbulut/solarvizyon-solar-panel-detection
This project contains the code for the SolarVizyon solar panel initiative. It primarily includes various algorithms, with a focus on convolutional neural networks (CNNs), to analyze and optimize the performance of solar panels.
https://github.com/furk4nbulut/solarvizyon-solar-panel-detection
cnn computer-vision machine-learning python
Last synced: 5 days ago
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This project contains the code for the SolarVizyon solar panel initiative. It primarily includes various algorithms, with a focus on convolutional neural networks (CNNs), to analyze and optimize the performance of solar panels.
- Host: GitHub
- URL: https://github.com/furk4nbulut/solarvizyon-solar-panel-detection
- Owner: Furk4nBulut
- License: mit
- Created: 2024-05-02T08:18:24.000Z (7 months ago)
- Default Branch: master
- Last Pushed: 2024-08-11T22:13:01.000Z (3 months ago)
- Last Synced: 2024-08-11T23:25:28.144Z (3 months ago)
- Topics: cnn, computer-vision, machine-learning, python
- Language: Jupyter Notebook
- Homepage:
- Size: 9.73 MB
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# SolarVizyon Solar Panel Detection Project
This project contains the code for the **SolarVizyon** solar panel initiative. It primarily includes various algorithms, with a focus on convolutional neural networks (CNNs), to analyze and optimize the performance of solar panels.
## Features
- **Convolutional Neural Networks (CNNs):** Core algorithms used for image processing and performance analysis.
- **Optimization Algorithms:** Various techniques implemented to enhance the efficiency of solar panels.
- **Data Analysis Tools:** Comprehensive tools to analyze and visualize the performance metrics of solar panels.
This project was developed as part of the **Teknofest** and **TÜBİTAK** initiatives.
