Train Mask R-CNN for Image Segmentation

Learn how to train the Mask R-CNN detector, a Convolutional Neural Network that identifies objects, their positions, and draws perfect polygons around them. This tutorial covers collecting and preparing images for the dataset, training the dataset using Colab Notebook, and using the model to detect objects. The course includes chapters on creating an image dataset, training Mask-RCNN, testing the trained model, running Mask-RCNN on an image, and an introduction to the Train Mask-RCNN minicourse. The intended audience for this course is individuals interested in image segmentation, deep learning, and object detection.