Homework submission
Please review the following rules before submitting your assignment:
- Please, submit only .ipynb that you extract from the Colaboratory.
- Run your homework exercises before submitting (output should be present, preferably restart the kernel and press run all the cells).
- Do not change the description of tasks in red (even if there is a typo|mistake|etc).
- Please, make sure to avoid unnecessary long printouts.
- Each task should be solved right under the question of the task and not elsewhere.
- 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 date | Deadline (23:59) |
|---|---|---|
| HW01 | February 21 | March 10 |
| HW02 | March 13 | March 31 |
| HW03 | April 3 | April 21 |
HW1 - CNNs in depth (Deadline: 10.03.2024)
the submission has been closed
Project: dataset (Deadline: 24.03.2024)
The task description is here: https://courses.cs.ut.ee/2024/DL4CV/spring/Main/Projects. Please, below submit your 2-page report describing the dataset you have created, motivation, sources, preprocessing techniques, labeling methods, and any challenges faced. Please highlight very clearly if the dataset is new or a modification of the existing dataset. If it is a modification, how was it modified? If it is a new dataset, how was it collected and labeled? Describe train and test splits. Add examples of images and labels to your report. Provide relevant summary statistics.
the submission has been closed
HW2 - Hands-on object detection and segmentation (Deadline: 31.03.2024)
the submission has been closed
HW3 - Vision Transformers (Deadline: 21.04.2024)
the submission has been closed
Project: Participation in Kaggle competitions (Deadline: 12.05.2024)
the submission has been closed