https://github.com/shreshthvashisht/emergency-and-non-emergency-vehicle-classification

This is a Deep Learning image classification model where I have classified the images of Emergency and Non Emergency vehicles
https://github.com/shreshthvashisht/emergency-and-non-emergency-vehicle-classification

cnn-classification deep-learning image imageclassification keras-tensorflow

Last synced: 3 days ago
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This is a Deep Learning image classification model where I have classified the images of Emergency and Non Emergency vehicles

• Host: GitHub
• URL: https://github.com/shreshthvashisht/emergency-and-non-emergency-vehicle-classification
• Owner: shreshthvashisht
• Created: 2024-12-17T08:22:52.000Z (22 days ago)
• Default Branch: main
• Last Pushed: 2024-12-29T17:19:47.000Z (10 days ago)
• Last Synced: 2024-12-29T18:18:39.569Z (10 days ago)
• Topics: cnn-classification, deep-learning, image, imageclassification, keras-tensorflow
• Language: Jupyter Notebook
• Homepage: https://www.kaggle.com/code/shreshthvashisht/emergency-and-non-emergency-vehicle-classification
• Size: 1.02 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Image Classification using Keras

In this notebook I have used a **Deep Learnig Model for Image Classification.**

This Image Classification is between **Emergency and Non-Emergency Vehicles.**

This model can be used by traffic cameras to create green passages for Emergency vehicles. This can be crucial in saving time and can improve emergency response time!

I have used a CNN architechture and have tuned the hyperparamters to further improve my model.

I was able to bring the accuracy from **~71% to ~84%.**