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YOLOv3 Robust Deep Learning Object Detection in 1 hour

  • Development
  • Dec 22, 2024
SynopsisYOLOv3 – Robust Deep Learning Object Detection in 1 hou...
YOLOv3 Robust Deep Learning Object Detection in 1 hour No.1

YOLOv3 – Robust Deep Learning Object Detection in 1 hour, available at $54.99, has an average rating of 4.3, with 20 lectures, 1 quizzes, based on 212 reviews, and has 1361 subscribers.

You will learn about Learn the State of the Art in Object Detection using Yolo V3. Discover the Object Detection Workflow that saves you time and money. The quickest way to gather images and annotate your dataset. Secret tip to multiply your data using Data Augmentation. How to use AI to label your dataset for you. Find out how to train your own custom YoloV3 from scratch. Step-by-step instructions on how to Execute, Annotate, Train and Deploy Custom Yolo V3 models. This course is ideal for individuals who are This course is for students with python, opencv or AI experience who want to learn how to do Object detection with Yolo V3. or Those who do not need or already have a theoretical understanding of Object Detection, CNNs and Yolo Architecture. or Those who are looking for a practical only approach to Object Detection with Yolo V3. It is particularly useful for This course is for students with python, opencv or AI experience who want to learn how to do Object detection with Yolo V3. or Those who do not need or already have a theoretical understanding of Object Detection, CNNs and Yolo Architecture. or Those who are looking for a practical only approach to Object Detection with Yolo V3.

Enroll now: YOLOv3 – Robust Deep Learning Object Detection in 1 hour

Summary

Title: YOLOv3 – Robust Deep Learning Object Detection in 1 hour

Price: $54.99

Average Rating: 4.3

Number of Lectures: 20

Number of Quizzes: 1

Number of Published Lectures: 20

Number of Published Quizzes: 1

Number of Curriculum Items: 21

Number of Published Curriculum Objects: 21

Original Price: $199.99

Quality Status: approved

Status: Live

What You Will Learn

  • Learn the State of the Art in Object Detection using Yolo V3.
  • Discover the Object Detection Workflow that saves you time and money.
  • The quickest way to gather images and annotate your dataset.
  • Secret tip to multiply your data using Data Augmentation.
  • How to use AI to label your dataset for you.
  • Find out how to train your own custom YoloV3 from scratch.
  • Step-by-step instructions on how to Execute, Annotate, Train and Deploy Custom Yolo V3 models.

    • Who Should Attend

  • This course is for students with python, opencv or AI experience who want to learn how to do Object detection with Yolo V3.
  • Those who do not need or already have a theoretical understanding of Object Detection, CNNs and Yolo Architecture.
  • Those who are looking for a practical only approach to Object Detection with Yolo V3.

    • Target Audiences

  • This course is for students with python, opencv or AI experience who want to learn how to do Object detection with Yolo V3.
  • Those who do not need or already have a theoretical understanding of Object Detection, CNNs and Yolo Architecture.
  • Those who are looking for a practical only approach to Object Detection with Yolo V3.

    • Learn how we implemented YOLO聽V3 Deep聽Learning Object Detection Models From Training to Inference –聽Step-by-Step

    When we first got started in Deep Learning particularly in Computer Vision, we were really excited at the possibilities of this technology to help people. The only problem is that if you are just getting started learning about AI Object Detection,聽 you may encounter some of the following common obstacles along the way:

  • Labeling dataset is quite tedious and cumbersome,

  • Annotation formats between various object detection models are quite different.

  • Labels may get corrupt with free annotation tools,

  • Unclear instructions on how to train models – causes a lot of wasted time during trial and error.

  • Duplicate images are a headache to manage.

    • This got us searching for a better way to manage the object detection workflow, that will not only help us better manage the object detection process but will also improve our time to market.

    Amongst the possible solutions we arrived at using Supervisely which is free Object Detection Workflow Tool, that can help you:

  • Use AI to annotate your dataset,

  • Annotation for one dataset can be used for other models (No need for any conversion) – Yolo, SSD, FR-CNN, Inception etc,

  • Robust and Fast Annotation and Data Augmentation,

  • Supervisely handles duplicate images.

  • You can Train your AI Models Online(for free) from anywhere in the world, once you’ve set up your Deep Learning Cluster.

    • So as you can see, that the features mentioned above can save you a tremendous amount of time. In this course, I show you how to use this workflow by training your own custom YoloV3 as well as how to deploy your models using PyTorch. So essentially, we’ve structured this training to reduce debugging, speed up your time to market and get you results sooner.

    In this course, here’s some of the things that you will learn:

  • Learn the State of the Art in Object Detection using Yolo V3 pre-trained model,

  • Discover the Object Detection Workflow that saves you time and money,

  • The quickest way to gather images and annotate your dataset while avoiding duplicates,

  • Secret tip to multiply your data using Data Augmentation,

  • How to use AI to label your dataset for you,

  • Find out how to train your own custom YoloV3 from scratch,

  • Step-by-step instructions on how to Execute,Collect Images, Annotate, Train and Deploy Custom Yolo V3 models,

  • and much more

    • You also get helpful bonuses:

  • Neural Network Fundamentals

    • Personal help within the course

    I donate my time to regularly hold office hours with students. During the office hours you can ask me any business question you want, and I聽will do my best to help you. The office hours are free. I聽don’t try to sell anything.

    Students can start discussions and message me with private questions. I answer 99% of questions within 24 hours. I love helping students who take my courses and I look forward to helping you.锟?/p>

    I聽regularly update this course to reflect the current marketing landscape.

    Get聽a Career Boost with a Certificate聽of聽Completion聽锟?/strong>

    Upon completing 100% of this course, you will be emailed a certificate of completion. You can show it as proof of your expertise and that you have completed a certain number of hours of instruction.

    If you want to get a marketing job or freelancing clients, a certificate from this course can help you appear as a stronger candidate for Artificial Intelligence jobs.

    Money-Back Guarantee

    The course comes with an unconditional, Udemy-backed, 30-day money-back guarantee. This is not just a guarantee, it’s my personal promise to you that I will go out of my way to help you succeed just like I’ve聽done for thousands of my other students.锟?/p>

    Let me help you get fast results.聽 Enroll now, by clicking the button and let us show you how to Develop Object Detection Using Yolo聽V3.

    Course Curriculum

    Chapter 1: Introduction to Yolo V3 Object Detection

    Lecture 1: Introduction

    Lecture 2: How to take this course.

    Lecture 3: Frequently Asked Questions (FAQ)

    Chapter 2: Deep Learning Basics

    Lecture 1: Artificial Neural Network – Intuition

    Lecture 2: Convolutional Neural Network – Intuition

    Chapter 3: The Quickest Way to get YoloV3 up and Running!

    Lecture 1: Why Yolo is Better, Stronger & Faster! – Theory

    Lecture 2: The Very Brief Theory of Yolo v3

    Lecture 3: Execute Yolo V3 Like a Boss!

    Lecture 4: Need Help with Supervise.ly?

    Chapter 4: How to Train Yolo V3 – Training & Workflow

    Lecture 1: 4 Steps to Setting up a Supervisely Deep Learning Cluster

    Lecture 2: How to Web Scrape Images for your Dataset like a PRO!

    Lecture 3: The Best Way to Annotate your Dataset

    Lecture 4: How to let the AI Annotate your Dataset for you – Human in the Loop Annotation

    Lecture 5: Got Little Data? No Problem! Data Augmentation to the Rescue 馃槈

    Lecture 6: How to Train a Yolo V3 Network

    Lecture 7: A Quick and Easy Method Deploying your Custom Object Detector after Training

    Chapter 5: Post-Processing and Maintenance

    Lecture 1: How to Record video, change bounding box color and add confidence percentage

    Lecture 2: Cleaning up you Supervisely Cluster and Cluster Maintenance

    Chapter 6: Conclusion

    Lecture 1: Bonus Section

    Lecture 2: [NEW] XR Developers Podcast with Ritesh Kanjee

    Instructors

  • YOLOv3 Robust Deep Learning Object Detection in 1 hour No.2
    Augmented Startups
    M(Eng) AI Instructor 100k+ Subs on YouTube & 60k+ students

    • Rating Distribution

  • 1 stars: 13 votes
  • 2 stars: 14 votes
  • 3 stars: 50 votes
  • 4 stars: 64 votes
  • 5 stars: 71 votes

    • Frequently Asked Questions

    How long do I have access to the course materials?

    You can view and review the lecture materials indefinitely, like an on-demand channel.

    Can I take my courses with me wherever I go?

    Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!

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