Language barriers are very much still a real thing. You can begin to use Tensorflow Object Detection and Python to help close that gap. And in this video, you’ll learn how to take the first steps to doing just that! In this video, you’ll learn how to build an end-to-end custom object detection model that allows you to translate sign language in real time.

In this video you’ll learn how to:

1. Collect images for deep learning using your webcam and OpenCV

2. Label images for sign language detection using LabelImg

3. Setup Tensorflow Object Detection pipeline configuration

4. Use transfer learning to train a deep learning model

5. Detect sign language in real time using OpenCV

Get the training template here:

Other Links Mentioned in the Video
Face Mask Detection Video:
Installing the Tensorflow Object Detection API:

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Building Realtime Sign Language Detection with Tensorflow and Python
15.90 GEEK