Innovation Lab Use Case

Mask R-CNN

This work demonstrates the potential of using Mask R-CNN for the classification of very high-resolution commercial data where the task of semantic segmentation becomes a challenge due to the nature of the features being classified and the sparse availability of labeled data. The adopted deep learning pipeline is presented for its potential use from custom environments and datasets where CPU and GPU resources are available.