Car Detection Based on Deep Learning

Using Jupyter Notebook

Car detection is one of the most important project in Deep Learning. Here we’re going to detect cars in video. We’re using cascade classifier (pre-trained model). The code is very simple. I’ve done it in Jupyter Notebook using Anaconda Navigator. So, let’s start it.

Firstly, we’ll import libraries.

importing libraries

Now, we’ll use a cascade classifier and video (including cars). The cascade classifier will detect cars in video. It’ll draw rectangle where car is present.

Code

Here, code completes. This is very simple code to detect car in video. Now, you can check output.

Car Detection

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Thank You.