This basic object detection model uses a simple MS coco-trained model which has 80 object categories. This model is running in a Raspberry Pi 4 programming board, and because of that, TensorFlow Lite has been used in this model. 

This object detection model also works with customized training data set. This project can be used in various applications such as CCTV cameras, person-following drones and many others.