Projects
We are committed to teaching you the practical skills needed to successfully complete any computer vision project you might encounter professionally. This usually implies being able to work with data collection and annotations as much as training machine learning models. While the latter is discussed a lot, the former is rarely mentioned in courses. Therefore, we decided to design projects that emphasise data processing skills as much as the ability to build powerful computer vision systems.
You can get up to 40 points for the project + bonuses.
Project key milestones:
- Fill in the profile assessment questionnaire that will help us to assign you into teams. Please, make sure to complete the survey until 15.02.2026.
- The team formation deadline is Feb 23 (23:59, Monday)
- The dataset preparation deadline is March 22 (23:59, Sunday). You should upload a short 2-page report to the courses homeworks page.
- The Kaggle setup deadline is April 11 (23:59, Sunday). You should send a link to your Kaggle page by the deadline in slack to the instructors.
- Participate in other teams’ Kaggles and try to improve upon their benchmarks and beat other teams. The deadline is May 17 (23:59, Sunday). Upload a short 2-page report to the courses.cs.ut.ee/dl4cv/homeworks page summarising your performance.
- Present your overall experience during the final class on May 27th.
- Fill out the team’s self-assessment questionnaire to estimate each member’s contribution by May 29 (Friday, 23:59).
What to do?
Detailed instructions will be published in Feb 2026.