itsekiri-tatashe/lagos-transportation-classification

An application that can correctly classify four main types of public transportation in Lagos state, Nigeria.`` # Lagos Public Transportation Classification witth AI ___ The aim of this project is to build an application that can correctly classify four main types of public transportation in Lagos state, Nigeria. These vehicles include Check it Out! * Bus Rapid Transit (BRT) * * Danfo / Bus * * Keke Napep / Keke Maruwa / Keke Tricycle * * Okada Bike / Motorcycle * ___ The data was scraped using the Google Image Scraper tool to extract all the images from Google ___ * Extracted the data * Arranged and label the data * Performed various Data Preprocessing techniques such as converting images into tensors and feature normalization/scaling * Used Convolutional Neural Networks (CNN), Data Augmentation and Transfer Learning / Pretrained Model to achieved best performance * **Tuned MobileNet V2** achieved best performance with **97% traing accuracy** and **95.6% test accuracy** ___ ## Model Performamce Accuracy with Confusion Matrix was used to evaluate performance. Data Augmentated CNN performed worse than Base CNN and Pre-trained Model * Base CNN * Training Accuracy : 95.7% * Testing Accuracy : 69.7% * Confusion Matrix * Data Augmentation + Base CNN * Training Accuracy : 60% * Testing Accuracy : 66.9% * Confusion Matrix * **Tuned MobileNet V2** * Training Accuracy : 99% * Testing Accuracy : 93.5% * Confusion Matrix ___ ## Model Deployment The final model with the best score was deployed on a web application built with **Streamlit** ___