Cattle Body Contour Segmentation Dataset
#semantic segmentation #image recognition #deep learning #agricultural monitoring #livestock management #precision agriculture
- Records
- 5000 records
- Size
- 1.5G
- Format
- JPG/PNG/JSON
- Provider
MOBIUSI INC- Updated
- v1.02026-11-04
AI Analysis & Value Prop
The current agricultural sector faces challenges in livestock management due to insufficient monitoring data and inefficiency, particularly in cattle condition assessment. Traditional methods often rely on manual observation, leading to insufficient data accuracy and real-time capabilities. Current solutions mainly focus on sensor-based data collection but lack sufficient image data to support the application of semantic segmentation technology. This dataset aims to help researchers and practitioners enhance the application of machine vision in agriculture by providing high-quality cattle body contour segmentation image data. Data collection is performed using high-resolution cameras under natural light and artificial lighting to ensure image clarity and detail richness. Meanwhile, all data undergo multiple rounds of annotation and consistency checks to ensure labeling accuracy. The data is stored in JPG format, accompanied by JSON format for annotation information, organized into a unified file structure to facilitate subsequent processing and model training.
Overview
Dataset Insights
Preview
Sample Examples
16ba2d00**.jpg|4000*5000|3.52 MB
4f53dca0**.jpg|6192*4128|5.58 MB
5950d90a**.jpg|3469*2314|2.48 MB
Schema
Technical Specifications
| Field | Type | Description |
|---|---|---|
| file_name | string | File name |
| quality | string | Resolution |
| cow_count | int | The number of cows present in the image. |
| cow_breed | string | The breed of the cows present in the image. |
| background_type | string | The type of background present in the image, such as field or barn. |
Trust
Compliance Statement
Authorization Type
Proprietary - Commercial AI Training License (No Redistribution)
Commercial Use
Requires exclusive subscription or authorization contract (monthly or per-invocation charging)
Privacy and Anonymization
No PII, no real company names, simulated scenarios follow industry standards
Compliance System
Compliant with China's Data Security Law / EU GDPR / supports enterprise data access logs
FAQ
Frequently Asked Questions
- What is the Cattle Body Contour Segmentation Dataset?
- The Cattle Body Contour Segmentation Dataset is a collection of image data focused on the agricultural field, aimed at providing high-quality cattle body contour segmentation images using semantic segmentation techniques to support precision agriculture.
- What are the application scenarios of the Cattle Body Contour Segmentation Dataset?
- This dataset is mainly used in agricultural monitoring and management, including estimating livestock weight, assessing health status, and providing visual navigation for smart farm robots.
- How to use the Cattle Body Contour Segmentation Dataset for model training?
- Images and their segmentation labels in the dataset can be used to train semantic segmentation models, improving the accuracy of cattle body contour recognition and thus enhancing the efficiency of agricultural monitoring systems.
- How does the Cattle Body Contour Segmentation Dataset improve the efficiency of precision agriculture?
- By accurately segmenting cattle body contours, the dataset can provide detailed livestock weight and health status data, offering a reliable basis for decision making in precision agriculture.
- What are the characteristics of the image data in the Cattle Body Contour Segmentation Dataset?
- The images in the dataset provide clear cattle body contour annotations with high-quality visuals that cover different environments and cattle breeds, enhancing the dataset's versatility and usability.
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Cite this Work
@dataset{Mobiusi2025,
title={Cattle Body Contour Segmentation Dataset},
author={MOBIUSI INC},
year={2025},
url={https://www.mobiusi.com/datasets/2ba038692ec8e782462239bf2f7d388d?dataset_scene_id=5},
urldate={2025-09-15},
keywords={cattle body contour segmentation, agricultural dataset, semantic segmentation, image recognition data},
version={1.0}
}Using this in research? Please cite us.
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