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  2. 2025/26 spring
  3. Deep Learning for Computer Vision (LTAT.02.028)
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Deep Learning for Computer Vision 2025/26 spring

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  • Classes
  • Homeworks
  • Projects
  • Grades

Homework submission

Please review the following rules before submitting your assignment:

  1. Please, submit only .ipynb that you extract from the Colaboratory.
  2. Run your homework exercises before submitting (output should be present, preferably restart the kernel and press run all the cells).
  3. Do not change the description of tasks in red (even if there is a typo|mistake|etc).
  4. Please, make sure to avoid unnecessary long printouts.
  5. Each task should be solved right under the question of the task and not elsewhere.
  6. Solutions to both regular and bonus exercises should be submitted in one IPYNB file.

Note: The late days will be used automatically if you submit after the deadline unless you let us know in advance.

The following is the schedule for homeworks

This schedule can change (check Slack for the updates):

Homework #Assignment dateDeadline (23:59)
HW01February 18March 8
HW02March 11March 29
HW03April 1April 19

HW1 - CNNs in depth (Deadline: 08.03.2025)

Project: dataset (Deadline: 22.03.2025)

HW2 - Hands-on object detection and segmentation (Deadline: 29.03.2025)

HW3 - Vision Transformers (Deadline: 19.04.2025)

Project: Participation in Kaggle competitions (Deadline: 17.05.2025)

Project: Final Project Presentation (Deadline: 27.05.2025)

  • Institute of Computer Science
  • Faculty of Science and Technology
  • University of Tartu
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