Robot Perception and Mask R-CNN (Practical AI #11)

Chris DeBellis, a lead AI data scientist at Honeywell, helps us understand what Mask R-CNN is and why it’s useful for robot perception. We also explore how this method compares with other convolutional neural network approaches and how you can get started with Mask R-CNN.

Chris DeBellis, a lead AI data scientist at Honeywell, helps us understand what Mask R-CNN is and why it’s useful for robot perception. We also explore how this method compares with other convolutional neural network approaches and how you can get started with Mask R-CNN.

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Featuring:

Chris DeBellis – WebsiteChris Benson – Twitter, GitHub, LinkedIn, WebsiteDaniel Whitenack – Twitter, GitHub, Website

Show Notes:

Matterport R-CNN
Mask R-CNN paper
COCO dataset
Stanford CNN course
Stanford Deep Learning course
Facebook’s Detectron

Something missing or broken? PRs welcome!