10
Training Instance Segmentation Models
This chapter provides you with common tools for collecting and labeling images for object instance segmentation tasks. Additionally, it covers the steps to extract data from different sources and reconstruct a dataset in the format supported by Detectron2. Before training an object segmentation model, this chapter also utilizes the code and visualizations approach to explain the architecture of an object segmentation application developed using Detectron2.
By the end of this chapter, you will understand different techniques to collect and label data for training models with object instance segmentation tasks. You will have hands-on experience constructing a custom dataset by extracting data from a nonstandard ...
Get Hands-On Computer Vision with Detectron2 now with the O’Reilly learning platform.
O’Reilly members experience books, live events, courses curated by job role, and more from O’Reilly and nearly 200 top publishers.
