instanssisegmentointia
Instanssisegmentointia, which translates to instance segmentation in English, is a computer vision technique that deals with identifying and delineating individual objects within an image. Unlike semantic segmentation, which classifies each pixel into a category, instance segmentation goes a step further by distinguishing between separate instances of the same object category. For example, if an image contains three cars, semantic segmentation would label all car pixels as "car," while instance segmentation would not only label those pixels as "car" but also assign a unique identifier to each of the three individual cars.
The process typically involves two main stages. First, object detection is performed to locate the bounding
Instance segmentation has applications in various fields, including autonomous driving, where it's crucial to differentiate between