The UBC Animal Welfare Program is one of the largest and most respected programs in the world in the field of animal welfare science. Since its inception in 1997, the program’s research has led to improvements in the lives of animals in British Columbia and around the world. The mission of the program is to improve the welfare and humane care of animals in agriculture, research, companionship and other areas through active efforts in research, education and public outreach.
UBC-AWP
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Peek-a-Moo
Peek-a-Moo PublicForked from MOO-VIS/Peek-a-Moo
Dairy Cow Dashboard for UBC Faculty of Land and Food Systems - Animal Welfare Program
R 1
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LamenessDetectionPlayground
LamenessDetectionPlayground PublicA collection of open source projects that relate to video-based animal behaviour analysis
Python
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vision-sam3-yolo-lameless
vision-sam3-yolo-lameless PublicForked from mehmetimga/vision-sam3-yolo-lameless
Python 1
Repositories
- mooVision Public
Automated cross-sucking detection in dairy calves using computer vision. UBC MDS capstone project in partnership with the UBC Animal Welfare Program.
- cow-pairwise-ranking Public
Standalone pairwise lameness ranking tool: input cow clips, output Elo + David's Score ranking
- cvat Public Forked from cvat-ai/cvat
Annotate better with CVAT, the industry-leading data engine for machine learning. Used and trusted by teams at any scale, for data of any scale.
- moo4feed Public Forked from skysheng7/moo4feed
Deriving Individual Animal Traits from Feeding and Drinking Data
- AI_bias_in_farming Public Forked from skysheng7/AI_bias_in_farming
The erasure of intensive livestock farming in text-to-image generative AI (ACM FAccT)
- LamenessDetectionPlayground Public
A collection of open source projects that relate to video-based animal behaviour analysis
- competition_dominance_analysis Public Forked from skysheng7/competition_dominance_analysis
Competition for feed flattens the dominance hierarchy in dairy cows
- lameness_hierarchy Public Forked from skysheng7/lameness_hierarchy
Redefining lameness assessment: Constructing lameness hierarchy using crowd-sourced data.
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