Welcome to the UNICORN Challenge!
To help you get up and running, we provide three public repositories:

1) unicorn_baseline_template

A minimal working template that runs on all tasks.
✅ Perfect for understanding the submission flow.
🔍 Includes example data for each task so you can debug locally and verify that your output format is correct.

2) unicorn_baseline

Our official baseline implementations with more complete logic for input preprocessing and foundation model inference.
✅ Ideal if you want to study a working pipeline that produces meaningful outputs.
🔍 Also includes example data for local testing and output validation.

3) unicorn_eval

The official evaluation toolkit for the challenge:
🧩 Contains adaptors used in vision tasks to map features → predictions
🛠️ Participants can submit custom adaptors via pull request — you'll get a unique name including your team name to ensure you receive credit!

For more details on adaptors and how to contribute, check out this README.

💬 Questions? Drop them here in the forum — we’re happy to help.
Good luck and happy programming!