Hands-On Computer Vision with Detectron2

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Fine-Tuning Instance Segmentation Models

The object instance segmentation models utilize results from the object detection models. Therefore, all the techniques introduced in the previous chapters for fine-tuning object detection models work the same for object instance segmentation models. However, object instance segmentation has an important feature to fine-tune: the quality of the boundaries of the detected objects. Therefore, this chapter introduces PointRend, a project inside Detectron2 that helps improve the object boundaries’ sharpness.

By the end of this chapter, you will be able to understand how PointRend works. You will also have hands-on experience developing object instance segmentation applications with better segmentation ...