How to build a Vehicle Classification Computer Vision AI Model?

navan.ai is platform enabling developers to build and deploy computer vision AI models without writing a single line of code.
This video shows you how you can build a computer vision AI model which can classify between different types of vehicles using navan.ai
Here are some examples of where this model can be used:
1. To understand road usage patterns and plan the network of roadways: The width of the roads required can be calculated by looking at the type of vehicles traveling by that road.
2. To ensure sustainability: Governments can calculate the estimated pollution levels and carbon footprint to come up with solutions to tackle the pollution.
3. Can be used at toll gates: Toll collectors can use such a computer vision model to automatically classify the type of the vehicle and charge the relevant amount of toll.
To know more about the use cases of this model, check out the entire video.
To get a step-by-step guide on how to build such a model, visit navan.ai/blog/...
Have you used such a model in any of your applications to classify different types of vehicles? Share your ideas and use cases in the comments.
Want to build your own computer vision AI model without writing a single line of code? Get started for FREE on navan.ai
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