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Real-Time-Face-Mask-Detection

This is a real time face mask detection project. I have created my own dataset and trained a model using transfer learning on ssd_mobilenet_v2_fpnlite_320x320_coco17_tpu-8

Dataset

I wrote up a script using python to collect the images using opencv library - capture.ipynb

After that I again used opencv library to convert these images to grayscale - convert_to_grayscale.ipynb

Then i used labelImg which is a great graphical image annotation tool. You should definitely check it out.

Training

For training i used transfer learning on ssd_mobilenet_v2_fpnlite_320x320_coco17_tpu-8

I got the model from TensorFlow 2 Detection Model Zoo and trained it using tensorflow object detection api.

You can check out their Documentation and their github repository

Tuning

At first the performance was not good so i tried different things such as:

  • Training on different models.
  • Changing the number of iterations.
  • The thing that most helped was implementing changes to the dataset.

Demo

20220426185032_8PV5kzgJ.mp4

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