A Dataset of Visible Light and Thermal Infrared Images for Health Monitoring of Caged Laying Hens in Large-Scale Farming

人工智能 计算机视觉 可见光谱 红外线的 计算机科学 比例(比率) 模式识别(心理学) 光学 材料科学 地理 光电子学 地图学 物理
作者
Weihong Ma,Xingmeng Wang,Xianglong Xue,Mingyu Li,Simon X. Yang,Yuhang Guo,Ronghua Gao,Lepeng Song,Qifeng Li
出处
期刊:Sensors [Multidisciplinary Digital Publishing Institute]
卷期号:24 (19): 6385-6385
标识
DOI:10.3390/s24196385
摘要

Considering animal welfare, the free-range laying hen farming model is increasingly gaining attention. However, in some countries, large-scale farming still relies on the cage-rearing model, making the focus on the welfare of caged laying hens equally important. To evaluate the health status of caged laying hens, a dataset comprising visible light and thermal infrared images was established for analyses, including morphological, thermographic, comb, and behavioral assessments, enabling a comprehensive evaluation of the hens’ health, behavior, and population counts. To address the issue of insufficient data samples in the health detection process for individual and group hens, a dataset named BClayinghens was constructed containing 61,133 images of visible light and thermal infrared images. The BClayinghens dataset was completed using three types of devices: smartphones, visible light cameras, and infrared thermal cameras. All thermal infrared images correspond to visible light images and have achieved positional alignment through coordinate correction. Additionally, the visible light images were annotated with chicken head labels, obtaining 63,693 chicken head labels, which can be directly used for training deep learning models for chicken head object detection and combined with corresponding thermal infrared data to analyze the temperature of the chicken heads. To enable the constructed deep-learning object detection and recognition models to adapt to different breeding environments, various data enhancement methods such as rotation, shearing, color enhancement, and noise addition were used for image processing. The BClayinghens dataset is important for applying visible light images and corresponding thermal infrared images in the health detection, behavioral analysis, and counting of caged laying hens under large-scale farming.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
DC-liqingtian发布了新的文献求助30
刚刚
ziwi完成签到,获得积分10
1秒前
2秒前
2秒前
ygg完成签到,获得积分10
2秒前
5秒前
科研通AI5应助xyawl425采纳,获得10
6秒前
6秒前
yyy完成签到,获得积分10
6秒前
ziwi发布了新的文献求助10
6秒前
7秒前
7秒前
8秒前
淡淡夕阳发布了新的文献求助10
9秒前
小丁发布了新的文献求助10
9秒前
小董不懂发布了新的文献求助10
10秒前
丸WAN发布了新的文献求助10
12秒前
hhhhh发布了新的文献求助10
12秒前
BaooooooMao完成签到,获得积分10
12秒前
mmr发布了新的文献求助10
12秒前
肉肉发布了新的文献求助10
13秒前
14秒前
14秒前
璇玑完成签到,获得积分20
14秒前
15秒前
子车茗应助B2B采纳,获得30
16秒前
bao完成签到,获得积分10
16秒前
林溪完成签到,获得积分10
17秒前
淡淡夕阳完成签到,获得积分10
17秒前
胡霖完成签到,获得积分10
17秒前
cling12发布了新的文献求助10
18秒前
随机发布了新的文献求助30
19秒前
loey发布了新的文献求助10
19秒前
鱼儿发布了新的文献求助20
19秒前
风语村发布了新的文献求助10
19秒前
共享精神应助wssy采纳,获得10
20秒前
iNk应助zzz采纳,获得10
22秒前
林林林完成签到,获得积分10
22秒前
24秒前
24秒前
高分求助中
【此为提示信息,请勿应助】请按要求发布求助,避免被关 20000
All the Birds of the World 4090
Production Logging: Theoretical and Interpretive Elements 3000
Am Rande der Geschichte : mein Leben in China / Ruth Weiss 1500
CENTRAL BOOKS: A BRIEF HISTORY 1939 TO 1999 by Dave Cope 1000
J'AI COMBATTU POUR MAO // ANNA WANG 660
Izeltabart tapatansine - AdisInsight 600
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 物理 生物化学 纳米技术 计算机科学 化学工程 内科学 复合材料 物理化学 电极 遗传学 量子力学 基因 冶金 催化作用
热门帖子
关注 科研通微信公众号,转发送积分 3751246
求助须知:如何正确求助?哪些是违规求助? 3294746
关于积分的说明 10087438
捐赠科研通 3009939
什么是DOI,文献DOI怎么找? 1652952
邀请新用户注册赠送积分活动 787860
科研通“疑难数据库(出版商)”最低求助积分说明 752442