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Mask R-CNN with OpenCV for Object Detection

Mask R-CNN with OpenCV for Object Detection

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2 Concepts | 6 Assessments | 524 Learners

Welcome to the project on Mask R-CNN with OpenCV for Object Detection. In this project, we will learn how to read a pre-trained TensorFlow model for object detection using OpenCV.

The real-world scenarios have a lot of applications based on object detection. For example, object detection models are used in self-driving cars to recognize where the pedestrians are, where the are vehicles located, where the signals are, etc in the given frame of view. So, it is very important to develop an understanding of how to use a pre-trained object detection model so that we could later customize it based on our needs.

Skills you will develop:

  1. OpenCV
  2. Object Detection
  3. Numpy
  4. Matplotlib
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