MOO: A Multi-view Oriented Observations Dataset for Viewpoint Analysis in Cattle Re-Identification

--> Computer Science > Computer Vision and Pattern Recognition arXiv:2603.04314 [Submitted on 4 Mar 2026] Title: MOO: A Multi-view Oriented Observations Dataset for Viewpoint Analysis in Cattle Re-Identification Authors: William Grolleau , Achraf Chaouch , Astrid Sabourin , Guillaume Lapouge , Catherine Achard View a PDF of the paper titled MOO: A Multi-view Oriented Observations Dataset for Viewpoint Analysis in Cattle Re-Identification, by William Grolleau and 4 other authors View PDF HTML Abstract: Animal re-identification faces critical challenges due to viewpoint variations, particularly in Aerial-Ground (AG-ReID) settings where models must match individuals across drastic elevation changes. However, existing datasets lack the precise angular annotations required to systematically analyze these geometric variations. To address this, we introduce the Multi-view Oriented Observation dataset, a large-scale synthetic AG-ReID dataset of $1,000$ cattle individuals captured from $128$ uniformly sampled viewpoints ($128,000$ annotated images). Using this controlled dataset, we quantify the influence of elevation and identify a critical elevation threshold, above which models generalize significantly better to unseen views. Finally, we validate the transferability to real-world applications in both zero-shot and supervised settings, demonstrating performance gains across four real-world cattle datasets and confirming that synthetic geometric priors effectively bridge the domain gap. Collectively, this dataset and analysis lay the foundation for future model development in cross-view animal ReID. MOO is publicly available at this https URL . Subjects: Computer Vision and Pattern Recognition (cs.CV) ; Artificial Intelligence (cs.AI) Cite as: arXiv:2603.04314 [cs.CV] (or arXiv:2603.04314v1 [cs.CV] for this version) https://doi.org/10.48550/arXiv.2603.04314 Focus to learn more arXiv-issued DOI via DataCite (pending registration) Submission history From: William Grolleau [ v...