Instance Segmentation

Instance segmentation combines the advantages of semantic segmentation and object detection. With the help of instance segmentation, objects can be assigned to different classes with pixel accuracy. This technology is particularly useful in applications where objects are very close to each other, touch or overlap. Typical use cases also include grabbing randomly arranged objects from boxes (bin picking) as well as identifying and measuring naturally grown structures.

Example Applications

Learn more about the other methods:

Image Classification | Edge Extraction  | Anomaly Detection