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🌍 EUROAI (CEOAI) 2026, Practice Round 2 (day 0)
Panda MNIST
✍️ Solved by us
Train digit classifiers that stay accurate on images from unseen, faulty scanners (domain generalisation).
- Statement
- English
- To hand in
- A trained model
- Hardware
- Needs a GPU (free Colab works)
- Data type
- 🖼️ Images
- Estimated difficulty
- ★★★☆☆
- Correction
- Our worked correction · best opened after you have triedOur solution does not reach the expected level
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›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.
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