🌍 IOAI 2025, Individual Day 1

Chicken Counting

Train a density-map head on top of a provided pretrained encoder to count Silkie chickens in farm images.

Statement: English · Original statement ↗
Data: Training data ↗ · Hugging Face dataset: ioaihsc/Task2_Chicken_Counting_Test ↗ · Hugging Face dataset: ioaihsc/Task2_Chicken_Counting ↗ · Hugging Face dataset: IOAI-official/IOAI2025 1 ↗ · Hugging Face dataset: ioaihsc/Task2_Chicken_Counting_LABEL ↗ · Hugging Face dataset: IOAI-official/IOAI2025 2 ↗
To hand in: A predictions file and the notebook that makes it
Hardware: Needs a GPU (free Colab works)
Data size: 513 MB
Data type: 🖼️ Images
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.

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›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.

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