Segmentation is the task of clustering elements of an image corresponding to the same object class. It is also known as pixel-level classification. It entails partitioning images (or video frames) into multiple segments of objects. Depending on the classification nature, image segmentation is divided into two categories: semantic segmentation (pixels with semantic labels) and instance segmentation (partitioning of individual objects). For example, in an image with a bunch of cars: while semantic segmentation label all the objects as car objects, instance segmentation can classify the separate instances where an object appears. In our today’s blog, we will use semantic segmentation.
The Road to Mandarin
Anyone learning Mandarin as a non-native will probably, at some stage of their learning journey, curse at how much of a pain it is.…