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Build an Object Detection Model with Python

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Duration

1h 12m

level

Intermediate

Course Creator

Axel Sirota

Last Updated

10-Jun-22

Object detection can be very useful in mundane tasks. This course will teach you how to build an object detection model from beginning to end for real-life use cases, suitable for using on a daily basis.

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Object detection can be applied everywhere, from your own home to a large manufacturing site. In this course, Build an Object Detection Model with Python, you’ll learn how to build an object detection model from beginning to end. First, you’ll explore how to prepare a dataset for training a model. Next, you’ll discover how to train a model with a pre-trained model. Finally, you’ll learn how to deploy the model in the right way for actual use, whether at home or in a factory. When you’re finished with this course, you’ll have the skills and knowledge of building an object detection model needed to function in real-life scenarios.
Author Name: Axel Sirota
Author Description:
Axel Sirota is a Microsoft Certified Trainer with a deep interest in Deep Learning and Machine Learning Operations. He has a Masters degree in Mathematics and after researching in Probability, Statistics and Machine Learning optimisation, he works as an AI and Cloud Consultant as well as being an Author and Instructor at Pluralsight, Develop Intelligence, and O’Reilly Media.

Table of Contents

  • Course Overview
    1min
  • Preparing Data for Model Training
    18mins
  • Training
    28mins
  • Deployment
    24mins

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Build an Object Detection Model with Python
Build an Object Detection Model with Python
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