{"id":98268,"key":"RGB_Roof_Type_Classification","title":"RGB Roof Type Classification","latest":{"id":1031894,"timestamp":"2023-10-23T12:29:50Z"},"content_model":"wikitext","license":{"url":"https://www.appropedia.org/Appropedia:Copyrights","title":"CC-BY-SA-4.0"},"source":"{{Project data\n| links = https://colab.research.google.com/drive/12K3WUsIcoepJgTi44uJmilIgAhB1z76l\n}}\n\n=== Objective ===\n\nThis project aims to classify the roofs in order to recognize whether it is possible to install solar panels on them or not.\n\nThe roofs are divided into 3 categories namely Flat, Gable, and Hip.\n\nThe '''Flat''' roofs are the potential to install solar panels on them.\n\nThe project provides an overview of how many houses can be equipped with a solar panel.\n\n=== Main Libraries ===\n\n'''TensorFlow''': TensorFlow 2.0 uses the Keras API for training the model.\n\n'''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.\n\n=== Accuracy ===\n\nThe evaluation results indicated 99% accuracy.\n\n=== Code ===\n\nWritten by Python. [https://colab.research.google.com/drive/12K3WUsIcoepJgTi44uJmilIgAhB1z76l GitHub]\n\n=== Photo Gallery ===\n\n[[File:Rooftopssss.png|left|thumb|469x469px]]\n\n[[File:Accuracyyy.png|center|thumb|434x434px]]\n\n{{Page data\n| keywords = solar, solar panels, roofing, TensorFlow, Python\n}}\n\n[[Category:Solar]]"}