$69.00 USD

Get 30 Minutes of 1-on-1 Technical Support to help you debug problems within the scope of the course. We use TeamViewer to remote desktop and resolve any issues that you have so that you can carry on learning - For $159 (Normally $499)

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Mask RCNN Course

You, are almost there, please fill in the relevant views and then get really excited to embark on your AI in Computer Vision Journey with Mask RCNN!

What you'll get:

✔️ High level understanding of how Mask RCNN works

✔️ Execution of a pretrained model

✔️ Labeling a dataset for custom apps

✔️ How to Multiply your dataset 7-10 times in 1 click, using Data Augmentation

✔️ Train your own Custom Mask RCNN Detector

✔️ [Real World Project] - Deploy your own Pothole Detector and perform pixel segmentation analysis.

This is perfect for you if:

  • Have been stuck in AI and deep learning and seeing little to no change.
  • Are TIRED of wasting time on StackOverflow and with endless debugging.
  • Want a shortcut to learning AI in computer vision and become an expert AI developer.
  • Don't have a lot of time to spend days/weeks debugging your app.
  • Want a fast and easy approach to learning AI-CV and reduce your time to market.

Remember if you are not happy within 30 Days, you can get a refund! 



What People Are Saying:

Thanks you sir for teaching in an easy an understandable way. Got me up and running quicker than if I'd tried on my own!!


“This was an amazing course! It's a great tutorial to learn some applications of computer vision in deep learning. Because of this course I've been able to learn some complex subjects that have challenged me for a long time. If you're thinking about taking this course, then you should do it. It will get you to an expert level in deep learning. ”

Naveen Prasad

Amazing Course! Explained the difficult concept, very well. Also I'm so glad I found your course on Open Pose, it saved me a lot of time. Thank you!

Prateek Shankar

“Great to have this course. Learnt a lot and got a basic understanding of computer vision and object detection with practical code. Thank you!”