Instance segmentation extends beyond object detection, encompassing the task of identifying individual objects within an image and delineating them from the surrounding context. The outcome of an ...

Object detection and segmentation are two important tasks in computer vision that aim to locate and classify objects in an image or a video. They have many applications, such as face recognition ...

Optimizing Medical Image Classification: Leveraging Advanced Segmentation Models for Enhanced Object Detection in Real-World Scenarios Abstract: In medical imaging, classifiers typically rely on ...

The role of object detection and segmentation in image processing is very important, but there is a problem that the processing results cannot meet expectations. Traditional recognition methods cannot ...

Object detection takes image classification one step further and provides the bounding box where detected objects are located. Segmentation comes in two flavors: semantic segmentation and instance ...

Image segmentation helps the computer isolate the features of the image that will help it classify an object, much like bounding boxes do, but they provide much more accurate, pixel-level labels.

Instance segmentation extends beyond object detection, encompassing the task of identifying individual objects within an image and delineating them from the surrounding context. The outcome of an ...