DEVELOP INSTANCE SEGMENTATION APPS USING MASK R-CNN IN 1 WEEK

You're already on your way to learning Object Detection, so why not Upgrade your AI Skills & become a Mask R-CNN Expert so you can Implement Instance Segmentation Models - From Training to Inference...

 

AI Students who learn Object Detection also learn Instance Segmentation. Instance Segmentation allows you to detect objects on a pixel level and is better than object detection in cases where you need to determine the size of an object for analysis.

Some applications of Mask R-CNN Instance Segmentation are:

  • Analysis of Road Pothole size,
  • Crack Propagation on mining conveyor belts, walls and structures,
  • Size analysis and monitoring the size of potentially malignant entities in medical diagnosis,
  • Agricultural growth analysis of crops.

This Mask R-CNN course, just like the YOLOv3 course, is specifically designed to get you to build AI apps faster, and easier than ever before - From execution to training, we show you the most efficient workflow on how to achieve these valuable AI in Computer Vision skills in just under a week! 

 

Mask RCNN Course Includes... 

  • ✔️ 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.

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NORMALLY $199, GET IT NOW FOR JUST $67. THAT'S 66% OFF FOR LIMITED TIME ONLY!

$67

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