Here I will walk you through the steps to create your own Custom Object Detector with the help of Google’s TensorFlow Object Detection API using Python 3 not on your CPU. It is with the free Google Cloud which provides you around 12 Hrs of free GPU for training your model.

You can find the code to the entire code here in my GIT HUB repo.

Before we proceed, I recommend you to kindly read my previous Blog which is also TensorFlow’s Object Detection API, where I trained using CPU.

I recommended you guys to read this because we are going to follow the same steps here and there is going to be a small difference, where we are just going to train the model here in the Google Collab which is free for 12 Hrs per day.

Steps to be followed to implement this project:

1. Setting up Object Detection Directory
2. Configure path variables
3. Training Data
4. Updating Google Drive
5. Setting up Google Collab
6. Configuring Training
7. Training your model
8. Inference Graph
9. Testing our model

#opencv #python3 #covid19 #tensorflow #api