We are looking for motivated student(s) to form a dataset of micro-scale beads from microscopic videos and test it with state-of-the-art techniques of multi-object detection, instance segmentation, and, if time permits, multi-object tracking (MOT).
The main challenge here is that a continuous flow making moving micro-scale beads look blurry, very fast to detect, and the existence of false-negative candidates.