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Object Detection Using Facebook's Detectron2

Mohammed Murtuza Qureshi

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.

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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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What's inside

Syllabus

Project Overview
Welcome to this Guided Project on Object Detection 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.

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Tailored for individuals seeking to master object detection using Facebook's Detectron2
Suitable for learners with basic knowledge of deep learning and computer vision concepts
Practical, project-based approach provides hands-on experience with real-world applications
Covers the full workflow of object detection model development and evaluation, including dataset preparation, model training, and inference
Uses Facebook's Detectron2, a reputable deep learning library for object detection tasks

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Reviews summary

Challenging course with technical difficulties

Learners say this course on object detection using Facebook's Detectron2 has engaging content but suffers from technical difficulties and poor instruction. Students report that the instructor is knowledgeable but lacks teaching skills and that technical issues consume too much time. The support is also said to be unhelpful. With improvements to instruction and support, learners say this course could be more positive and fulfilling.
Instructor has strong grasp of material.
"The online course featured an instructor with a strong grasp of the material"
Support is unhelpful.
"the support provided was lacking in helpfulness"
Instructor lacks teaching skills.
"their teaching skills and organization fell short in effectively transferring that knowledge to the audience."
Course has technical issues.
"technical issues proved to be a major hurdle"
"I had to navigate them independently."

Activities

Coming soon We're preparing activities for Object Detection Using Facebook's Detectron2. These are activities you can do either before, during, or after a course.

Career center

Learners who complete Object Detection Using Facebook's Detectron2 will develop knowledge and skills that may be useful to these careers:
Computer Vision Engineer
As a Computer Vision Engineer, you will develop and implement computer vision algorithms and models to solve real-world problems. This course provides a solid foundation in object detection using Detectron2, which is a powerful tool for building computer vision applications. By completing this course, you will gain the skills and knowledge necessary to succeed in this field.
Machine Learning Engineer
Machine Learning Engineers design, develop, and deploy machine learning models to solve a variety of problems. This course provides a foundation in object detection using Detectron2, which is a valuable skill for Machine Learning Engineers. By completing this course, you will gain the skills and knowledge necessary to build and deploy object detection models.
Data Scientist
Data Scientists use data to solve business problems. This course provides a foundation in object detection using Detectron2, which is a valuable skill for Data Scientists. By completing this course, you will gain the skills and knowledge necessary to build and deploy object detection models to solve real-world problems.
Software Engineer
Software Engineers design, develop, and maintain software systems. This course provides a foundation in object detection using Detectron2, which is a valuable skill for Software Engineers. By completing this course, you will gain the skills and knowledge necessary to build and deploy object detection models.
Deep Learning Engineer
Deep Learning Engineers design, develop, and deploy deep learning models to solve a variety of problems. This course provides a foundation in object detection using Detectron2, which is a valuable skill for Deep Learning Engineers. By completing this course, you will gain the skills and knowledge necessary to build and deploy object detection models.
Computer Vision Researcher
Computer Vision Researchers develop new algorithms and models for computer vision. This course provides a foundation in object detection using Detectron2, which is a valuable skill for Computer Vision Researchers. By completing this course, you will gain the skills and knowledge necessary to conduct research in the field of computer vision.
Artificial Intelligence Engineer
Artificial Intelligence Engineers design, develop, and deploy artificial intelligence systems. This course provides a foundation in object detection using Detectron2, which is a valuable skill for Artificial Intelligence Engineers. By completing this course, you will gain the skills and knowledge necessary to build and deploy artificial intelligence systems.
Data Analyst
Data Analysts collect, analyze, and interpret data to solve business problems. This course provides a foundation in object detection using Detectron2, which is a valuable skill for Data Analysts. By completing this course, you will gain the skills and knowledge necessary to use object detection models to solve business problems.
Robotics Engineer
Robotics Engineers design, develop, and maintain robots. This course provides a foundation in object detection using Detectron2, which is a valuable skill for Robotics Engineers. By completing this course, you will gain the skills and knowledge necessary to build and deploy object detection models for robots.
User Experience Designer
User Experience Designers design and evaluate user interfaces. This course provides a foundation in object detection using Detectron2, which is a valuable skill for User Experience Designers. By completing this course, you will gain the skills and knowledge necessary to use object detection models to improve the user experience.
Product Manager
Product Managers manage the development and launch of new products. This course provides a foundation in object detection using Detectron2, which is a valuable skill for Product Managers. By completing this course, you will gain the skills and knowledge necessary to use object detection models to develop and launch new products.
Sales Engineer
Sales Engineers sell and support technical products and services. This course provides a foundation in object detection using Detectron2, which is a valuable skill for Sales Engineers. By completing this course, you will gain the skills and knowledge necessary to use object detection models to sell and support technical products and services.
Technical Writer
Technical Writers create and maintain documentation for technical products and services. This course provides a foundation in object detection using Detectron2, which is a valuable skill for Technical Writers. By completing this course, you will gain the skills and knowledge necessary to use object detection models to create and maintain documentation for technical products and services.
Quality Assurance Analyst
Quality Assurance Analysts test and evaluate software products and services. This course provides a foundation in object detection using Detectron2, which is a valuable skill for Quality Assurance Analysts. By completing this course, you will gain the skills and knowledge necessary to use object detection models to test and evaluate software products and services.
Business Analyst
Business Analysts analyze business processes and identify opportunities for improvement. This course provides a foundation in object detection using Detectron2, which is a valuable skill for Business Analysts. By completing this course, you will gain the skills and knowledge necessary to use object detection models to analyze business processes and identify opportunities for improvement.

Reading list

We've selected six books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Object Detection Using Facebook's Detectron2.
Provides a comprehensive overview of deep learning. It covers a wide range of topics, from neural networks to deep learning architectures. It valuable resource for anyone who wants to learn more about deep learning.
Provides a practical introduction to deep learning for computer vision. It covers a wide range of topics, from convolutional neural networks to object detection and segmentation. It valuable resource for anyone who wants to learn more about deep learning for computer vision.
Provides a comprehensive overview of pattern recognition and machine learning. It covers a wide range of topics, from statistical learning to Bayesian inference. It valuable resource for anyone who wants to learn more about pattern recognition and machine learning.
Provides a comprehensive overview of computer vision algorithms and their applications. It covers a wide range of topics, from image processing and feature extraction to object detection and recognition. It valuable resource for anyone who wants to learn more about computer vision.
Provides a comprehensive overview of computer vision. It covers a wide range of topics, from image processing and feature extraction to object detection and recognition. It valuable resource for anyone who wants to learn more about computer vision.

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