Mobiusi/Free-Range-Chicken-Detection-Dataset

Free-Range Chicken Detection Dataset

Current challenges in the agricultural industry include the difficulty in managing and monitoring free-range chickens. Traditional manual monitoring is inefficient and easily affected by environmental factors. Existing solutions often rely on manual observation, leading to strong subjectivity and inconsistent annotations. This dataset aims to provide high-quality image data of free-range chickens to help researchers and enterprises develop more effective target detection algorithms, enhancing the degree of automation in monitoring. Data collection utilizes high-definition camera equipment in various farming environments to ensure data diversity and representativeness. Each image undergoes multiple rounds of annotation and is reviewed by professionals to ensure data accuracy and consistency. The data is stored in JPG format, organized into category folders. The core advantages of this dataset include high annotation precision and consistency, with an annotation accuracy rate of 95%. By introducing advanced data augmentation techniques, the robustness of models is effectively enhanced. By using this dataset, the accuracy of target detection tasks can be increased by at least 15%, providing practical solutions for agricultural breeding management.

Technical Specifications

Field	Type	Description
file_name	string	File name
quality	string	Resolution
chicken_count	int	The number of chickens detected in the image.
chicken_position	varchar	The position coordinates of chickens in the image usually represented by bounding boxes.
background_scene	varchar	The environmental description of the background in the image, such as grass, soil, etc.
lighting_condition	varchar	Description of the lighting conditions at the time of capture, such as sunny, cloudy, night, etc.
chicken_breed	varchar	Information about the breed of the chicken in the image, such as native chicken, egg-laying chicken, etc.
chicken_color	varchar	The main color of the chicken's feathers, such as white, brown, yellow, etc.

Compliance Statement

Authorization Type	CC-BY-NC-SA 4.0 (Attribution–NonCommercial–ShareAlike)
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

Source & Contact

If you need more dataset details, please visit Mobiusi. or contact us via contact@mobiusi.com