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Object Detection Using Facebook's Detectron2
  • Level Intermediate
  • Duration 3 hours
  • Offered by

About

In this 2-hour long project-based course, you will learn how to train an Object Detection Model using Facebook's Detectron2. Detectron2 is a research platform and a production library for deep learning, built by Facebook AI Research (FAIR). We will be building an Object Detection Language Identification Model to identify English and Hindi texts written which can be extended to different use cases. We will look at the entire cycle of Model Development and Evaluation in Detectron2. We will first look at how to load a dataset, visualize it and prepare it as an input to the Deep Learning Model. We will then look at how we can build a Faster R-CNN model in Detectron2 and customize it. We will then configure the parameters & hyperparameters of the model. We will then move on to training the Model and subsequently to model inference and evaluation. Note: This course works best for learners who are based in the North America region. We're currently working on providing the same experience in other regions.

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Dive into "Object Detection Using Facebook's Detectron2," a 2-hour professional course designed for sales and marketing enthusiasts. Guided by Coursera, you'll master training an Object Detection Model using Detectron2 by Facebook AI Research. The course covers dataset preparation, model customization, training, and evaluation, focusing on language identification for English and Hindi texts. Ideal for learners in North America, it offers a hands-on, project-based learning experience.