We will learn about object detection using a very powerful algorithm known as the YOLO algorithm using Keras in Python
1) YOLO stands for you only look once.
2) It is one of the fastest and accurate object detection algorithms.
3) It is a CNN (convolutional neural network) for doing object detection.
4) YOLO uses a single neural network to the whole image which then categorizes the image into sectors and predicts imaginary boxes and probabilities for each sector.
1) Here in the tutorial, we have used the example of car detection.
2) After going through the tutorial you will be introduced to many terms like (eg. IOU, YOLO, NON-MAX Suppression and many more).
3) We here used a pre-trained YOLO model as training a YOLO model takes a huge a cost.
4) Most of the descriptions are explained in the tutorial with examples so you can look to it to understand more deeply.
With all this, I hope you will find it useful.
Submitted by Hritwick Manna (hritwickmanna)
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