A panoptic segmentation technique is advantageous for computer vision. In essence, it combines semantic segmentation and instance segmentation, two distinct strategies for segmenting images. The process of panoptic segmentation assigns a semantic label and an instance ID to each pixel in a picture. Instance IDs are used to identify individual instances, and pixels with the same title belong to the same semantic class. Since each pixel label in panoptic segmentation is distinct, there are never any overlapping pixels. Therefore, compared to semantic segmentation labels, a panoptic segmentation label offers more context and detail.