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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.
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Featuring
- Chris DeBellis – Website
- Chris Benson – Twitter, GitHub, LinkedIn, Website
- Daniel Whitenack – Twitter, GitHub, Website
Notes and Links
- 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!