Mastering Computer Vision with TensorFlow 2.x

An overview of Mask R-CNN and a Google Colab demonstration

Mask R-CNN (https://arxiv.org/abs/1703.06870) was proposed by Kaiming He, Georgia Gkioxari, Piotr Dollar, and Ross Girshick at CVPR 2017. Mask R-CNN efficiently detects objects in an image using R-CNN, while simultaneously object segmentation tasks for each region of interest. So, the segmentation task works in parallel with classification and bounding box regression. The Mask R-CNN's high-level architecture is as follows:

The details of the Mask R-CNN implementation is as follows:

• Mask R-CNN follows the general two-stage principle of Faster R-CNN but with a modification—the first ...