Object detection in Python using Keras

YOLO Algorithm :

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. 

Highlights :

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.