🌍 IOAI 2025, At-Home

Radar

Segment human presence on range-azimuth radar heatmaps derived from indoor radar measurements.

Statement: English · Original statement ↗
Data: Training data 1 ↗ · Validation data ↗ · Test data ↗ · Google Drive file ↗ · Training data 2 ↗ · Training data 3 ↗ · Hugging Face dataset: IOAI-official/IOAI2025 ↗
To hand in: A trained model and its notebook
Hardware: Needs a GPU (free Colab works)
Data size: 1.4 GB
Data type: 🖼️ Images, 📈 Time series
Estimated difficulty: ★★★☆☆
Solution: See a solution · best opened after you have tried

Get ready on the platform

The chapters of the learning path that prepare for this problem.

These chapters are picked from the solution: showing them may hint at the approach.

›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.

The statement, data and solutions belong to their authors; we only link to them. Licence : CC-BY-4.0.