A Dataset of Visible Light and Thermal Infrared Images for Health Monitoring of Caged Laying Hens in Large-scale Farming DOI Open Access
Weihong Ma, Xingmeng Wang,

Xianglong Xue

et al.

Published: Aug. 21, 2024

Considering animal welfare, the free-range laying hen farming model is increasingly gaining attention. However, in some countries, large-scale still relies on cage-rearing model, making focus welfare of caged hens equally important. To evaluate health status hens, a dataset comprising visible light and thermal infrared images was established for analyses, including morphological, thermographic, comb, behavioural as-sessments, enabling comprehensive evaluation hens' health, behaviour, population counts. address issue insufficient data samples detection process indi-vidual group named BClayinghens constructed containing 61,133 images. The completed using three types devices: smartphones, cameras, cameras. All correspond to have achieved positional alignment through coordinate correction. Additionally, were annotated with chicken head labels, obtaining 63,693 which can be directly used training deep learning models object combined corresponding analyze temperature heads. enable deep-learning recognition adapt different breeding environ-ments, various enhancement methods such as rotation, shearing, colour enhancement, noise addition image processing. important ap-plying detection, analysis, counting under farming.

Language: Английский

A Dataset of Visible Light and Thermal Infrared Images for Health Monitoring of Caged Laying Hens in Large-scale Farming DOI Open Access
Weihong Ma, Xingmeng Wang,

Xianglong Xue

et al.

Published: Aug. 21, 2024

Considering animal welfare, the free-range laying hen farming model is increasingly gaining attention. However, in some countries, large-scale still relies on cage-rearing model, making focus welfare of caged hens equally important. To evaluate health status hens, a dataset comprising visible light and thermal infrared images was established for analyses, including morphological, thermographic, comb, behavioural as-sessments, enabling comprehensive evaluation hens' health, behaviour, population counts. address issue insufficient data samples detection process indi-vidual group named BClayinghens constructed containing 61,133 images. The completed using three types devices: smartphones, cameras, cameras. All correspond to have achieved positional alignment through coordinate correction. Additionally, were annotated with chicken head labels, obtaining 63,693 which can be directly used training deep learning models object combined corresponding analyze temperature heads. enable deep-learning recognition adapt different breeding environ-ments, various enhancement methods such as rotation, shearing, colour enhancement, noise addition image processing. important ap-plying detection, analysis, counting under farming.

Language: Английский

Citations

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