[ FreeCourseWeb.com ] Mask R-CNN - Practical Deep Learning Segmentation in 1 hour



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

What you'll learn

What is Instance Segmentation

How to take object segmentation further using Mask RCNN

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.

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



Use Winrar to Extract. And use a shorter path when extracting, such as C: drive



ALSO ANOTHER TIP: You Can Easily Navigate Using Winrar and Rename the Too Long File/ Folder Name if Needed While You Cannot in Default Windows Explorer. You are Welcome ! :)



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