Practical Deep Learning Segmentation in 1 hour

[LeeAndro]

MP4 | h264, 1280x720 | Lang: English | Audio: aac, 48000 Hz | 2h 10m | 2.84 GB

Secret tip to multiply your data using Data Augmentation.

What you'll learn

What is Instance Sntation

How to take object sntation further using Mask RCNN

How to use AI to label your dataset for you.

Find out how to train your own custom Mask R-CNN from scratch.

Pothole Detection using Mask R-CNN

Step-by-step instructions on how to Execute, Annotate, Train and Deploy Custom Mask R-CNN models.

Requirements

Background in OpenCV & Computer Vision

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.

Description

***Important Notes***

This is a practical-focused course. While we do provide an overview of Mask R-CNN theory, we focus mostly on helping you get Mask R-CNN working step-by-step.

Learn how we implemented Mask R-CNN 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 Sntation, 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 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 to market.

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

Use AI to annotate your dataset for Mask sntation,

Annotation for one dataset can be used for other models (No need for any conversion) - Mask-RCNN, 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 . In this course, I show you how to use this workflow by training your own custom Mask RCNN as well as how to deploy your models using PyTorch. So essentially, we've structured this training to reduce debugging, speed up your 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 Mask R-CNN pre-trained model,

Discover the Object Sntation Workflow that saves you 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 Mask R-CNN from scratch for Road Pothole Detection, Sntation & Pixel Analysis,

Step-by-step instructions on how to Execute,Collect Images, Annotate, Train and Deploy Custom Mask R-CNN models,

and much more...

You also get helpful bonuses:

Neural Network Fundamentals

Personal help within the course

We donate my to regularly hold office hours with students. During the office hours you can ask me any business question you want, and we will do my best to help you. Students can start discussions and message us with private questions. We 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.

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 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 Sntation Using Mask R-CNN.

Who this course is for:

Students who want to learn how to take object detection further with Mask RCNN

Students who are curious to learn practical approach to Instance sntation

This course is for students with Python, OpenCV or AI experience who want to learn how to do Object Sntation with Mask RCNN




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