RGB Roof Type Classification

Project data
Links	https://colab.research.google.com/drive/12K3WUsIcoepJgTi44uJmilIgAhB1z76l
OKH Manifest	Download

Objective

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

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

The evaluation results indicated 99% accuracy.

Code

Written by Python. GitHub

Photo Gallery

Page data
Keywords	solar, solar panels, roofing, TensorFlow, Python
License	CC-BY-SA-4.0
Language	English ()
Related	0 subpages, 0 pages link here
Views	34 page views (analytics)
Created	January 25, 2022 by Nasim Fani
Last edit	October 23, 2023 by StandardWikitext bot
Cite as	Nasim.Fani (2022–2023). "RGB Roof Type Classification". Appropedia. Retrieved October 3, 2026.
API queries	basic, semantic, html, files, more