On-the-fly point annotation for fast medical video labeling

Adrien Meyer, Jean-Paul Mazellier, Jérémy Dana, Nicolas Padoy

Abstract: In medical research, deep learning models rely on high-quality annotated data, a process often laborious and time-consuming. 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.