Poultry individual encoding identification tracking model, method and storage medium

Abstract

This invention discloses a poultry individual coding identification and tracking model, method, and storage medium, relating to the field of image data processing technology. The method includes image acquisition and preprocessing, constructing a dataset from acquired video data, and performing distortion correction, grid slicing, and data annotation on the acquired data; building a YOLO11 label recognition model; training and evaluating the YOLO11 label recognition model, optimizing model parameters through backpropagation, and extracting label features from preprocessed images for classification. The method effectively overcomes the identification blind spots caused by the high similarity of biological characteristics among poultry individuals, ensuring continuous tracking stability in complex dynamic scenarios. It effectively solves the technical bottleneck of easily losing small targets under large field-of-view monitoring, significantly reducing the time cost and subjective error of manual recording, and providing strong technical support for the refined management of poultry breeding.

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