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# https://github.com/huggingface/huggingface.jsBird Detection in RGB Airborne Imagery
The model was initially described in Ecological Applications. From the abstract
Using over 250,000 annotations from 13 projects from around the world, we develop a general bird detection model that achieves over 65% recall and 50% precision on novel aerial data without any local training despite differences in species, habitat, and imaging methodology. Fine-tuning this model with only 1000 local annotations increases these values to an average of 84% recall and 69% precision by building on the general features learned from other data sources.
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