The Cell Behavior Video Classification Challenge (CBVCC) is a challenge designed to develop/adapt computer vision methods for classifying videos capturing cell behavior through Intravital Microscopy (IVM). 

The primary goal of the CBVCC challenge is to create models that can accurately classify videos based on the movement patterns of cells. Specifically, the models should be able of:

• Identifying videos where cells exhibit sudden changes in their direction of movement.
• Distinguishing these from videos where cells show consistent, linear movement, stationary cells as well as from videos containing only background.

The challenge is now closed.

Link to preprint: https://arxiv.org/abs/2601.10250

Dedicated webpage (dataset, results, etc.): https://www.dp-lab.info/cbvcc