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.