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Announcing the Matterport3D Dataset of Labeled 3D Spaces for Machine Learning
- subcosmos 9y agoThis is rad! Got any ideas of stuff that can be done with this using Keras?
- llebttam 9y agoLots of things! Since 3D convolutional networks are very limited in their maximum resolution, most of the interesting things you can do involve learning on RGB+D images via a 2D CNN. A lot of tasks on images (segmentation, identification etc) are easier when you have even partial depth data as input.
- llebttam 9y agoIf you didn't see the link to the paper, it's here: https://arxiv.org/pdf/1709.06158.pdf https://arxiv.org/pdf/1709.06158.pdf A wide range of usecases are discussed there.