Accurate wildlife re-identification is critical for a wide range of ecological studies, including density estimation via capture\u2013recapture, demographic analyses, and behavioral research. We present GIRAFFE (Generalized Image-based Re-identification using AI for Fauna Feature Extraction), a system for automated re-identification of giraffes with extensibility to other species. Our approach uses local feature matching to identify known individuals and partition unknown individuals for label annotation at scale. Further, we develop a user interface that enables both technical and non-technical users to curate large datasets and analyze repeat survey data. In contrast with existing methods that require manual labeling to facilitate individual re-identification, GIRAFFE automates key steps in the re-identification pipeline, reducing manual effort while maintaining accuracy and interpretability. Validated on real-world giraffe datasets, the system achieves over 0.9 accuracy across nine standard metrics, with some metrics achieving near perfect score. It runs 120 times faster than baseline methods and delivers a 132-fold improvement in cost-effectiveness. This supports endangered species tracking, improves analysis of population dynamics and movement patterns, and, ultimately, allows for the implementation of data-driven conservation strategies.<\/p>\n","protected":false},"excerpt":{"rendered":"
Accurate wildlife re-identification is critical for a wide range of ecological studies, including density estimation via capture\u2013recapture, demographic analyses, and behavioral research. We present GIRAFFE (Generalized Image-based Re-identification using AI for Fauna Feature Extraction), a system for automated re-identification of giraffes with extensibility to other species. Our approach uses local feature matching to identify known […]<\/p>\n","protected":false},"featured_media":0,"template":"","meta":{"msr-url-field":"","msr-podcast-episode":"","msrModifiedDate":"","msrModifiedDateEnabled":false,"ep_exclude_from_search":false,"_classifai_error":"","msr-author-ordering":[{"type":"user_nicename","value":"Shahrzad Gholami","user_id":"39757"},{"type":"text","value":"Derek E. Lee","user_id":0},{"type":"user_nicename","value":"Caleb Robinson","user_id":"39606"},{"type":"text","value":"Monica L. 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