Checklist Cyprus AI Camp 2026 IOAI Selection Camp · Task 4
Galaxy10 Classification
Classify Galaxy10 DECaLS colour galaxy images into 10 morphology classes.
The task
A wide-field telescope has captured many galaxy images; contestants build a classifier that predicts the morphology class (disturbed, merging, round smooth, in-between round smooth, cigar-shaped smooth, barred spiral, unbarred tight spiral, unbarred loose spiral, edge-on without bulge, edge-on with bulge) from an RGB image.
The data come from Galaxy10 DECaLS (about 20,000 256×256 colour cutouts from the Dark Energy Camera Legacy Survey with Galaxy Zoo labels).
Abridged by SOTA from the official materials. The official statement has the exact rules, and it wins wherever this summary differs.
At a glance
- You get
train_images.npy(N×256×256×3),train_labels.npy,public_test_images.npy,private_test_images.npy,class_names.json,sample_submission.csv.- You submit
- CSV with Id and Category (0–9).
- Scoring
- Classification accuracy on the private test set (points formula not stated on the competition page).
- Rules
- Pre-trained models and additional data are not allowed unless the task says otherwise.
- No outside help; LLM chats, ChatGPT, Copilot and similar tools are prohibited (except Colab inline autocompletion).
- Only the Kaggle website and Google Colab may be used (no local IDEs); online library documentation is allowed.
- One Kaggle account per participant; leaderboard name '[City] Name Surname'.
- Format
- Cyprus AI Camp 2026 (IOAI 2026 selection, in person, 31 Jan–8 Feb 2026): ML Images 2, released 3 Feb 2026, 09:00–12:00 EET, on Kaggle (two tasks per 3-hour session).