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 – Website
• Chris Benson – Website, GitHub, LinkedIn, X
• Daniel Whitenack – Website, GitHub, X

Show Notes:

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

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