Instance segmentation is a computer vision technique that uses semantic segmentation and object detection to find and separate each object in an image and give each one a unique label. This implies that each entity is named and placed in the image and differs from several other objects in the identical class.
How is Instance Segmentation Used in AI Applications
Here are some ways that instance segmentation is used in the AI field:
Autonomous Driving
Instance segmentation can be utilized in finding and tracking vehicles, people, and other objects on the road, which is essential for making safe and reliable autonomous driving systems.
Robotics
Instance segmentation can be used to find and identify specific parts or objects within an image. This can help robotic tasks like grasping and manipulating.
Augmented Reality
Instance segmentation enables augmented reality systems in object recognition and tracking in real time. This lets virtual objects interact with the real-world environment.
Medical Imaging
Instance segmentation can be utilized to find and identify anatomical features in medical images, which can help with diagnosis and treatment planning.
Retail
You can use instance segmentation in the retail sector to find and keep track of each product on the shelf, which can help with customer analytics and inventory management.
