instanssisegmentaatiomallit
Instanssisegmentaatiomallit, or instance segmentation models, are a class of machine learning models designed to identify and segment individual objects within an image. Unlike object detection models, which only locate objects using bounding boxes, instance segmentation models provide a pixel-level understanding of each object in the image. This is achieved by predicting a mask for each detected object, which outlines the object's shape and location.
Instance segmentation models typically use convolutional neural networks (CNNs) as their backbone, combined with additional layers
These models have a wide range of applications, including autonomous driving, medical imaging, and robotics, where