NotificationCup-ybara Challenge: Competition LIVE on Kaggle! Start now
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AI WILDLIFE MONITORING

Cup - ybara
challenge 2025

An open competition to develop cutting-edge AI models for automated wildlife species detection.

Combining Machine Learning and real-world biodiversity data to push the boundaries of AI for conservation.

About the challenge

The problem

Tracking wildlife through camera trap footage is slow, time-consuming, and costly. Conservationists spend thousands of hours manually analyzing video to monitor species, delaying crucial actions.

The solution

AI can automate species detection, saving conservation teams time. This challenge aims to build models that classify wildlife in camera trap videos, supporting biodiversity efforts.

Technical details

By leveraging AI, we can reduce the hours spent manually analyzing camera trap footage and empower conservationists.

Data volume

Over 2,000 labeled and unlabeled video segments from Uruguayan wildlife.

Objective

Train models to classify wildlife species in 15-second videos.

Suggested approach

Leverage pre-trained models or multimodal LLMs to pre-label training data and boost model performance.

Build solutions to transform wildlife monitoring

CHALLENGE FRAMEWORK
Key info
Follow our challenge roadmap from announcement to implementation
Challenge launch
Challenge launch
Monday, April 21, 2025. The competition kicks off!
April – June 2025
April – June 2025
8-week competition live on Kaggle.
Winners announced
Winners announced
Friday, June 27, 2025. Final results published — top models will be shared with AMBÁ for deployment.

Shape the future of wildlife monitoring