Using active ML for a segmentation project

In this section, we will reuse what we did for the object detection task, but instead of using an object detection dataset, we will use an instance segmentation dataset with the segment task of yolov8.

Instance segmentation is a computer vision task that involves detecting and segmenting individual objects in an image at the pixel level. It combines elements of object detection, which localizes objects by drawing bounding boxes around them, and semantic segmentation, which classifies each pixel in the image according to the class it belongs to. Instance segmentation goes a step further – it assigns an instance label to each segmented object. The output is a set of masks, one per detected object instance, that indicate the exact pixels that belong to each object. Instance segmentation provides a more detailed delineation of objects compared to the bounding boxes produced in object detection. It segments objects at the pixel level...