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AI WILDLIFE MONITORINGCup - ybara
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.
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
Monday, April 21, 2025. The competition kicks off!
April – June 2025
8-week competition live on Kaggle.
Winners announced
Friday, June 27, 2025. Final results published — top models will be shared with AMBÁ for deployment.
Shape the future of wildlife monitoring
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