Cattle Behavior Recognition Dataset

#target detection #behavior recognition #animal behavior monitoring #agricultural management #smart farming
  • 15000 records
  • 3.4G
  • JPG/PNG/JSON
  • CATL
  • MOBIUSI INCMOBIUSI INC
Updated:2026-08-24

AI Analysis & Value Prop

The current agricultural industry faces challenges in monitoring and managing cattle behavior, with traditional methods relying on manual observation, which is inefficient and error-prone. Existing automated monitoring systems still have shortcomings in accuracy and real-time performance, unable to meet the needs of modern smart farming. This dataset aims to provide high-quality cattle behavior recognition data to support the training of target detection models and improve the accuracy of behavior recognition. The dataset contains 15,000 annotated images, collected using high-resolution cameras in natural breeding environments to ensure image quality. We use multiple rounds of annotation and expert review for quality control to ensure data consistency and accuracy. All images are stored in JPG format, organized by image ID for easy subsequent processing and analysis. The dataset has a clear structure, including key fields such as image ID, bounding box, and behavior labels, meeting the needs of target detection tasks.

Dataset Insights

Sample Examples

fef81b05**.jpg|4000*5000|3.52 MB

f05bbebb**.jpg|6192*4128|5.58 MB

Technical Specifications

FieldTypeDescription
file_namestringFile name
qualitystringResolution
behavior_typestringThe category of behavior being observed for the cow in the image.
body_positionstringThe position or posture of the cow's body as captured in the image.
env_contextstringThe environmental context in which the cow's behavior occurs, providing situational details.
health_statusstringThe inferred health status of the cow as determined from the image.
fur_patternstringThe characteristics of the cow's fur color and patterns as visible in the image.

Compliance Statement

Authorization TypeProprietary - Commercial AI Training License (No Redistribution)
Commercial UseRequires exclusive subscription or authorization contract (monthly or per-invocation charging)
Privacy and AnonymizationNo PII, no real company names, simulated scenarios follow industry standards
Compliance SystemCompliant with China's Data Security Law / EU GDPR / supports enterprise data access logs

Frequently Asked Questions

What is the Cattle Behavior Recognition Dataset?
The Cattle Behavior Recognition Dataset aims to aid research and development of intelligent monitoring technology in agriculture through image data, specifically for the automatic recognition and analysis of cattle behavior.
In what scenarios can this dataset be applied?
The Cattle Behavior Recognition Dataset is primarily applied in intelligent monitoring systems within the agriculture sector, to analyze and recognize cattle's daily behaviors, enhancing ranch management efficiency.
How does the Cattle Behavior Recognition Dataset improve agricultural production efficiency?
By automatically monitoring and analyzing cattle behavior, the dataset helps farm managers promptly understand the health and activity status of cattle, thereby optimizing feeding and management strategies to improve production efficiency.
Why is object detection important in cattle behavior recognition?
Object detection technology is the foundation of cattle behavior recognition as it can accurately identify and locate cattle in images, facilitating further behavior analysis and assessment.
Who are the potential users of this dataset?
Potential users include agrotechnology companies, research institutions, ranch managers, and AI developers, who can utilize this dataset for the development and optimization of intelligent monitoring systems.

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Cite this Work

@dataset{Mobiusi2025,
  title={Cattle Behavior Recognition Dataset},
  author={MOBIUSI INC},
  year={2025},
  url={https://www.mobiusi.com/datasets/58365650bdd18d5fdaa3baa805c3cf53},
  urldate={2025-09-15},
  keywords={cattle behavior recognition, target detection dataset, intelligent agricultural monitoring, animal behavior analysis},
  version={1.0}
}

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