A Representative Subset for Cattle Identification via Gait and Coat-pattern

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Authors: Yongsheng Si
Cited by: 0

Abstract

This dataset is a representative subset (1.3 GB) of the cow gait and coat-pattern data used in our research. It is provided to support the reproducibility of the proposed multimodal identification framework. Data Contents: Segmented RGB Images: Specifically prepared for the coat-pattern recognition branch to extract texture features. Binary Silhouette Sequences: Specifically prepared for the gait-based identification branch to analyze temporal motion patterns. Organization: Images are organized by animal ID, ensuring paired alignment for multimodal fusion training and testing. Usage: These samples allow for the evaluation of model performance as described in the manuscript.

Fields of Study & Subjects

Gait Recognition and Analysis Smart Agriculture and AI Video Surveillance and Tracking Methods

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
7 February 2026
Document type
Dataset