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A computer vision dataset for precision livestock farming, created by Zhang Yuqi and last updated in April 2026. It contains 29,061 total images from two sub-datasets: BECA-D for visual diversity with 16,889 images from 5,661 cattle, and BECA-L for long-term recognition with 12,172 images from 103 cattle tracked over up to five months.
Dataset is distributed as a 18.9 GB ZIP file, requiring sufficient storage and bandwidth for download.