ArticleVeterinary and animal science2026
Deep learning-based facial recognition for identity and sex classification in chicks.
Article in Veterinary and animal science, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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6 authors.
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Abstract
To address the digitalization of poultry farming and demand for precise chick management, this study developed deep learning models for facial biometric recognition in Xianghuang chickens, an indigenous yellow-feathered breed from Hengyang, Hunan. A unified dataset of 6,024 images (frontal and profile views) was compiled to evaluate five architectures-ResNet-50, ResNet-101, MobileNetV2, EfficientNet-B0, and EfficientNet-B0+CBAM-on two tasks: individual identification and sex classification. For individual identification, all models performed excellently. Under frontal views, Top-1 accuracy exceeded 98% and Top-5 surpassed 99%, with no significant inter-model differences (
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