Chicken Farm Visual and Audio Monitoring Dataset

IceKhoffi's Chicken Health and Behavior Multimodal Dataset contains visual and audio data collected from chicken farms. It is designed for developing early detection systems for health issues and anomalous poultry behavior. The dataset was last updated on the Hugging Face platform in August 2025.

Use Cases

• Train computer vision models to detect anomalous chicken behaviors from visual data.
• Develop audio classification models to identify distress or illness indicators from farm audio recordings.
• Build multimodal fusion models that combine visual and audio features for early disease detection.
• Create benchmark datasets for evaluating anomaly detection algorithms in agricultural settings.

Strengths

• Dataset is specifically designed for a critical agricultural application: early disease detection.
• Contains multimodal data (visual and audio) for a more complete behavioral analysis.

Limitations

• Specific data volume (row count, file count) and feature details are not provided.
• Potential geographic or farm-type bias is unknown, limiting generalizability.
• Label quality, class balance, and annotation methodology are unspecified.

Provenance

Source

IceKhoffi on Hugging Face.

Collection Method

Data collected from chicken farms; specific sensors and protocols are not detailed.

Freshness

Last updated on 2025-08-23.