metadata
license: cc-by-4.0
pretty_name: IOAI 2026 – Double Agent Dilemma
tags:
- ioai
- olympiad
- image-classification
viewer: false
IOAI 2026 — Double Agent Dilemma
Official contest data for Double Agent Dilemma, task 4 (Day 2) of the IOAI 2026 Individual Contest, held in Astana, Kazakhstan.
Two pretrained image classifiers — a ResNet18 (CNN) and a ViT-Tiny (Transformer) — both reach 100% accuracy on the provided images. The task exploits where the two architectures disagree.
The task statement, translations, baseline and grader live in the IOAI-2026 GitHub repository. This repository holds data only.
Subsets
| Subset | Path | Contestants saw it | Role |
|---|---|---|---|
| Public – train | public/train/ |
yes | labelled images |
| Public – test | public/test_public/ |
yes | public evaluation split |
| Public – dry-run | public/pretrain/, public/pretest/ |
yes | small slices for pipeline validation |
| Private – Leaderboard A | private/test_leaderboard_a/ |
no | live leaderboard during the contest |
| Private – Leaderboard B | private/test_leaderboard_b/ |
no | final ranking |
Each split holds images/ plus a labels.json mapping image index to class id.
Credits
All of this data was extracted and filtered from ImageNet.
Proposed by Tao Dajiang; developed by Tao Dajiang, Zhuldyz-Zhan Sagimbayev and Kamalkhan Artykbayev. Published by the IOAI 2026 Scientific Committee under CC BY 4.0.