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🇸🇬 Singapore team selection 2025, IOAI 2025 selection test (CV)
Semantic Segmentation with U-Net
✍️ Solved by us
Build and train a U-Net for semantic segmentation.
- Statement
- English
- Data
- The data comes with the statement.
- To hand in
- A notebook
- Hardware
- Needs a GPU (free Colab works)
- Data type
- 🖼️ Images
- Estimated difficulty
- ★★★☆☆
- Correction
- Our worked correction · best opened after you have tried
Get ready on the platform
The chapters of the learning path that prepare for this problem.
These chapters are picked from the solution: showing them may hint at the approach.
›How to tackle it
- Read the statement. What to hand in, the metric that scores you, the time and hardware limits.
- Explore the data. Size, format, missing values, how the labels are spread.
- Score yourself first. Keep part of the training data aside to measure your work before submitting.
- Start simple, then improve. A first solution that works end to end, then one change at a time.
- Compare with a solution. Once you have searched, open it and see what you would have done differently.
Unofficial copy: the organisers' original may differ.
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