---
tags:
- object detection
- image recognition
- agricultural monitoring
- poultry management
- quantity statistics
license: cc-by-nc-sa-4.0
task_categories:
- object-detection
language:
- en
pretty_name: Poultry Quantity Statistics Dataset
size_categories:
- 1B<n<10B
---

# Poultry Quantity Statistics Dataset

The current agricultural industry faces significant challenges in monitoring poultry quantity. Traditional manual statistical methods are inefficient and subject to subjective factors, resulting in inaccurate data. Existing solutions mostly rely on manpower, lack automation, and cannot meet large-scale monitoring needs. This dataset aims to provide high-quality poultry quantity image data to support the training of automated object detection algorithms, improving the efficiency and accuracy of poultry quantity statistics. The dataset contains 5000 labeled images, covering poultry images of different species and environments. Data collection is conducted with professional photographic equipment in actual farming environments to ensure the authenticity and diversity of images. For quality control, multiple rounds of labeling and expert review ensure consistency and accuracy in data annotation. The data is stored in JPG format, with a clear organizational structure for quick retrieval and processing.

## Technical Specifications

| Field | Type | Description |
| :---  | :---  | :--- |
| file_name | string | File name |
| quality | string | Resolution |
| poultry_count | integer | The total number of poultry detected in the image. |
| species | string | The type of poultry appearing in the image, such as chicken, duck, goose, etc. |
| environment_type | string | The type of environment where the poultry are located, such as farm, indoor, outdoor, etc. |
| health_status | string | The health status of the poultry in the image, such as healthy, potentially sick, etc. |
| behavior | string | The behavioral characteristics of the poultry displayed in the image, such as feeding, resting, moving, etc. |
| age_category | string | The age category of the poultry in the image, such as juvenile, adult, etc. |

## Compliance Statement

<table>
  <tr>
    <td>Authorization Type</td>
    <td>CC-BY-NC-SA 4.0 (Attribution–NonCommercial–ShareAlike)</td>
  </tr>
  <tr>
    <td>Commercial Use</td>
    <td>Requires exclusive subscription or authorization contract (monthly or per-invocation charging)</td>
  </tr>
  <tr>
    <td>Privacy and Anonymization</td>
    <td>No PII, no real company names, simulated scenarios follow industry standards</td>
  </tr>
  <tr>
    <td>Compliance System</td>
    <td>Compliant with China's Data Security Law / EU GDPR / supports enterprise data access logs</td>
  </tr>
</table>

## Source & Contact

If you need more dataset details, please visit [Mobiusi](https://www.mobiusi.com/datasets/e538dc4ffdfe583df615589913f1a815?utm_source=huggingface&utm_medium=referral). or contact us via contact@mobiusi.com