to
The
the
you
You
and
a
A
your
Your
• The Complete Guide to Creating your own AI Object Detection Apps.Learn how we implemented YOLO V3 Deep Learning Object Detection Models From Training to Inference – Step-by-StepWhen 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.Course InformationAmongst the possible solutions we arrived at using Supervisely which is free Object Detection Workflow Tool, that can help you with the following:So as you can see, that the features mentioned above can save you a tremendous amount of time.
• In this course, we show you how to use this workflow by training your own custom YOLO V3 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: Bonuses:Get a Career Boost with a Certificate of CompletionUpon 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.Money-Back Guarantee***Important Notes***This is a practical-focused course.