CHIRP dataset: towards long-term, individual-level, behavioral monitoring of bird populations in the wild

1. 1Collect and annotate a large dataset of bird images and videos
2. 2Develop and train computer vision models to extract biological features and behaviors
3. 3Apply models to monitor individual birds over time, tracking changes in behavior
4. 4Analyze results to inform conservation and evolutionary biology studies

Data scientists and conservation biologists can benefit from this dataset to study behavioral changes in bird populations, informing conservation and evolutionary biology efforts

💡 Computer vision can be used for long-term, individual-level behavioral monitoring of bird populations

🐦 Monitor bird behavior with CHIRP dataset! 💻