Cell Tracking with Mitosis Detection Dataset Challenge

Samreen Anjum and Danna Gurari

[ Paper ]
Cell preview


While significant developments have been made in cell tracking algorithms, current datasets are still limited in size and diversity, especially for data-hungry generalized deep learning models. We introduce a new larger and more diverse cell tracking dataset in terms of number of sequences, length of sequences, and cell lines, accompanied with a public evaluation server and leaderboard to accelerate progress on this new challenging dataset. Our benchmarking of four top performing tracking algorithms highlights new challenges and opportunities to improve the state-of-the-art in cell tracking.


S. Anjum, and D. Gurari. CTMC: Cell Tracking With Mitosis Detection Dataset Challenge. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, Computer Vision for Microscopy Images (CVMI), (pp. 982-983), 2020.


Download CTMC Dataset from MOTChallenge Website

Download CTMC Training Dataset (Images and Annotations)

Download CTMC Test Dataset (Images)

Note: Folders img1, gt, det follow the MOT Challenge format and TRA follows the CTC format. In addition, following the MOT Challenge guidelines, all frame numbers and target IDs are 1-based.

Code and Challenge

Github Repository

2023 Challenge

We will be hosting this year's challenge as part of the CVMI workshop at the CVPR conference 2023.
Challenge Webpage: CTMC-v1
Deadline: June 3rd, 2023 at 11:59 pm CST
Note: Please remember to make your submissions public.

2022 Challenge Winner

Qiaobin Lin and Prof. Dechao Sun (code)
Zhejiang Wanli University

2021 Challenge Winner

Imad Eddine Toubal, Noor Al-Shakarji, and Prof. Palaniappan Kannappan (video)
University of Missouri


We gratefully acknowledge funding from the Chan Zuckerberg Initiative DAF, an advised fund of Silicon Valley Community Foundation. We also thank Microsoft for sponsoring the award to the winners of the 2021 Challenge.


For questions and/or comments, feel free to contact:

Samreen Anjum