← All problems
🇧🇾 Belarus national stage 2026, National stage (Minsk, 31 Mar to 2 Apr 2026)
Galaxy Morphology Classification
Classify Galaxy Zoo images into 8 morphological classes with a single non-ensemble model, scored by macro F1 with latency and model size also counted.
- Statement
- Russian · Read it in English (Google Translate)
- To hand in
- A trained model
- Hardware
- Needs a GPU (free Colab works)
- Data size
- 2.1 GB
- Data type
- 🖼️ Images
- Estimated difficulty
- Unknown
Get ready on the platform
The foundations of the learning path for this kind of data.
›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.
The statement, data and solutions belong to their authors; we only link to them. Licence : Apache-2.0.
Are you the author or organiser? Ask for a correction or removal