Bildannotation
Bildannotation, also known as image annotation, is the process of labeling and tagging images with metadata to make them more useful for various applications. This metadata can include information about the objects, scenes, or other relevant features present in the image. The primary goal of image annotation is to enhance the accuracy and efficiency of image processing tasks, such as object detection, image classification, and image retrieval.
There are several types of image annotation techniques, including bounding box annotation, segmentation annotation, and keypoint
Image annotation can be performed manually by human annotators or automatically using machine learning algorithms. Manual
Image annotation is used in a wide range of applications, including autonomous driving, medical imaging, and