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