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  The `chbd-yolov11s-chicken-detector` is an object detection model trained using the Ultralytics YOLOv11s architecture. It is designed to accurately locate and classify chickens within images and video frames, serving as a foundational step for downstream tasks such as chicken counting, density estimation, tracking, and the analysis of anomalous visual behaviors related to health.
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  ## Training Data
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  This model was trained on the `vision-object-detection` datasets from [chicken-health-behavior-multimodal](https://huggingface.co/datasets/IceKhoffi/chicken-health-behavior-multimodal).
 
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  The `chbd-yolov11s-chicken-detector` is an object detection model trained using the Ultralytics YOLOv11s architecture. It is designed to accurately locate and classify chickens within images and video frames, serving as a foundational step for downstream tasks such as chicken counting, density estimation, tracking, and the analysis of anomalous visual behaviors related to health.
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  ## Training Data
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  This model was trained on the `vision-object-detection` datasets from [chicken-health-behavior-multimodal](https://huggingface.co/datasets/IceKhoffi/chicken-health-behavior-multimodal).