RGB Roof Type Classification
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| Links | https://colab.research.google.com/drive/12K3WUsIcoepJgTi44uJmilIgAhB1z76l |
Objective
[edit | edit source]This project aims to classify the roofs in order to recognize whether it is possible to install solar panels on them or not.
The roofs are divided into 3 categories namely Flat, Gable, and Hip.
The Flat roofs are the potential to install solar panels on them.
The project provides an overview of how many houses can be equipped with a solar panel.
Main Libraries
[edit | edit source]TensorFlow: TensorFlow 2.0 uses the Keras API for training the model.
Keras: Keras is one of the leading high-level neural network APIs. It is written in Python and supports multiple back-end neural network computation engines.
Accuracy
[edit | edit source]The evaluation results indicated 99% accuracy.
Code
[edit | edit source]Written by Python. GitHub
Photo Gallery
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| License | CC-BY-SA-4.0 |
| Cite as | Nasim.Fani (2022–2023). "RGB Roof Type Classification". Appropedia. Retrieved June 4, 2026. |