On-the-Fly Point Annotation for Fast Medical Video Labeling

arXiv:2404.14344v1 Announce Type: new
Abstract: Purpose: In medical research, deep learning models rely on high-quality annotated data, a process often laborious and timeconsuming. This is particularly true for detection tasks where bounding box annotations are required. The need to adjust two corners makes the process inherently frame-by-frame. Given the scarcity of experts' time, efficient annotation methods suitable for clinicians are needed. Methods: We propose an on-the-fly method for live video annotation to enhance the annotation efficiency. In this approach, a …

abstract annotated data annotation annotations arxiv box cs.cv data deep learning detection experts fly labeling medical medical research process quality research tasks true type video