YOLOv3 - Robust Deep Learning Object Detection in 1 hour
What you'll 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.
- Have prior experience in Python using Anaconda.
- A PC/Laptop with CUDA-enabled NVIDIA graphics Card for training - We use Ubuntu for training.
- Create a Free Account with Supervisely.
- Be Familiar with Computer Vision or AI.
Learn how we implemented YOLO V3 Deep Learning Object Detection Models From Training to Inference - 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, 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 will do my best to help you. The office hours are free. I 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.
I regularly update this course to reflect the current marketing landscape.
Get a Career Boost with a Certificate of Completion
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.
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 done for thousands of my other students.
Let me help you get fast results. Enroll now, by clicking the button and let us show you how to Develop Object Detection Using Yolo V3.
Who this course is for:
- 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, CNN's and Yolo Architecture.
- Those who are looking for a practical only approach to Object Detection with Yolo V3.
So a bit about me, Ritesh Kanjee: I've graduated from University of Johannesburg as an Electronic Engineer with a Masters in Image Processing and 8 years ago I started my online school called Augmented Startups where I have over 100'000 subscribers on YouTube and over 60'000 students on Augmented AI Bootcamp/Udemy.
I’ve worked with popular tools such as TensorFlow Keras, Open CV, and PyTorch and I’ve also produced High ranking tutorials that feature on Google and YouTube. My Machine Learning Series is also one of the most viewed videos, over 300 thousand views and you’ll find them ranked right at the top on YouTube search results.
From my tutorials, I have received a lot of great feedback and testimonials from students all around the world, I will share those reviews towards the end of the video
And I have also presented at international conferences and meetups in AI. For industry standard AI, I have partnered up with Geeky Bee AI who are Experts in the field in AI and Deep Learning and have experience developing AI apps for real world applications.