Purpose: 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 …

Background Machine learning, especially deep learning, is becoming more and more
relevant in research and development in the medical domain. For all the supervised deep …

Training deep learning algorithms requires a huge amount of labeled data. Annotation of
medical data is a challenging task, as it needs specific knowledge. In this paper, we propose …

Annotating object ground truth in videos is vital for several downstream tasks in robot
perception and machine learning, such as for evaluating the performance of an object …

Accurate point detection on image data is an important task for many applications, such as in
robot perception, scene understanding, gaze point regression in eye tracking, head pose …

Deep learning has been enabling a variety of computer vision applications from object
detection on roads [1] to identify logos [2]. But these applications often require rapidly …

Video analytics systems have recently gained intensive attention due to the fact that they
play a practical role in a broad range of topics, including understanding scenes in …

Currently, AI edge device is becoming the trend in real-time object detection. However, one
of the disadvantages of current object detection models is the limitation of objects or the lack …

Computers are powerful tools capable of solving a great variety of ever so complex
problems, yet training them to interpret even the simplest video scenes can prove more …

Video Annotation is a crucial process in computer science and social science alike. Many
video annotation tools (VATs) offer a wide range of features for making annotation possible …