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

Researchers introduced MOO, a large-scale synthetic dataset of 1,000 cattle individuals captured from 128 viewpoints to improve animal re-identification across different viewing angles. The dataset addresses critical challenges in aerial-ground re-identification by providing precise angular annotations and demonstrates effective transfer to real-world applications.