MmCows: Dairy Cows Dataset

The MmCows dataset is a groundbreaking, large-scale multimodal dataset designed to support behavior monitoring, health management, and dietary optimization for dairy cattle. This comprehensive dataset provides researchers, veterinarians, and AI developers with detailed insights into dairy cattle management using advanced data collection methods.

Key Features of the MmCows Dataset

1. Real-World Deployment Data
   The dataset includes data collected from 16 dairy cows over a continuous 14-day deployment, offering rich, real-world insights.

2. Comprehensive Multimodal Data
   MmCows is divided into two distinct data modality groups:

   • Primary Modality Group:

     • 3D UWB Location Tracking: Accurate positioning of cows.
     • Neck IMMU Data: Acceleration and air pressure monitoring.
     • Core Body Temperature (CBT): Essential for health analysis.
     • Ankle Acceleration: To analyze movement patterns.
     • Multi-View RGB Images: High-resolution visual data.
     • Indoor THI (Temperature-Humidity Index): Microclimate monitoring.
     • Outdoor Weather Data: Environmental factors affecting health.
     • Milk Yield Measurements: For dietary and productivity analysis.

   • Secondary Modality Group:

     • UWB Distances: To calculate interaction ranges.
     • Head Direction: Behavior and attention tracking.
     • Lying Behavior: Insights into rest patterns.
     • Health Records: Comprehensive historical health data.

3. Annotated Visual Data

   • The dataset includes 20,000 isometric-view images captured from multiple camera perspectives in a single day.
   • Each image is meticulously annotated with cow IDs and corresponding behaviors, serving as reliable ground truth for behavior modeling.
   • Multi-view annotations enable the derivation of accurate 3D body locations for the cows.

Applications of the MmCows Dataset

• Behavior Analysis: Monitor activity patterns, interactions, and rest cycles for better cattle welfare.
• Health Monitoring: Early detection of health issues through real-time data.
• Dietary Management: Optimize milk yield and diet plans based on activity and health data.
• AI Development: Train machine learning models for automated cattle management systems.
• Environmental Research: Study the impact of microclimate and weather on dairy cattle productivity.