Mask R-CNN is a convolution based network for object instance segmentation. This implementation provides 1.3x faster training while maintaining target accuracy.
Mask R-CNN builds on top of FasterRCNN adding an additional mask head for the task of image segmentation.
The architecture consists of following:
This model was trained using script available on NGC and in GitHub repo.
The following datasets were used to train this model:
Performance numbers for this model are available in NGC.