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You're reading from  Hands-On Computer Vision with Detectron2

Product typeBook
Published inApr 2023
Reading LevelBeginner
PublisherPackt
ISBN-139781800561625
Edition1st Edition
Languages
Python
Tools
PyTorch
Concepts
Computer Vision
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Author (1)
Van Vung Pham
Van Vung Pham
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Van Vung Pham

Van Vung Pham is a passionate research scientist in machine learning, deep learning, data science, and data visualization. He has years of experience and numerous publications in these areas. He is currently working on projects that use deep learning to predict road damage from pictures or videos taken from roads. One of the projects uses Detectron2 and Faster R-CNN to predict and classify road damage and achieve state-of-the-art results for this task. Dr. Pham obtained his PhD from the Computer Science Department, at Texas Tech University, Lubbock, Texas, USA. He is currently an assistant professor at the Computer Science Department, Sam Houston State University, Huntsville, Texas, USA.
Read more about Van Vung Pham

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Preparing data for training segmentation models

This section introduces several scenarios about data preparation steps that may be necessary for your cases. Specifically, this section first introduces the common tasks to prepare a dataset, including getting images, labeling images, and converting annotations. Additionally, in practice, data may come in various formats that might not be standard, and in this case, we may need to perform the data preparation steps from scratch. Therefore, this section also introduces the steps to prepare the brain tumor dataset for training custom segmentation models using Detectron2.

Getting images, labeling images, and converting annotations

If you do not have a dataset, Chapter 3 introduces common places to obtain data for computer vision applications in general. It would help if you also went to these sources for object instance segmentation data. Also, you can use the same Python script (Detectron2_Chapter03_Download_Images.ipynb) introduced...

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Hands-On Computer Vision with Detectron2
Published in: Apr 2023Publisher: PacktISBN-13: 9781800561625
© 2023 Packt Publishing Limited All Rights Reserved

Author (1)

author image
Van Vung Pham

Van Vung Pham is a passionate research scientist in machine learning, deep learning, data science, and data visualization. He has years of experience and numerous publications in these areas. He is currently working on projects that use deep learning to predict road damage from pictures or videos taken from roads. One of the projects uses Detectron2 and Faster R-CNN to predict and classify road damage and achieve state-of-the-art results for this task. Dr. Pham obtained his PhD from the Computer Science Department, at Texas Tech University, Lubbock, Texas, USA. He is currently an assistant professor at the Computer Science Department, Sam Houston State University, Huntsville, Texas, USA.
Read more about Van Vung Pham

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