Detected and segmented image
2D morphological features
ShinyAnimalCV: open-source cloud-based web application for object detection and segmentation and three-dimensional visualization of animals using computer vision
ShinyAnimalCV: open-source cloud-based web application for object detection and segmentation and three-dimensional visualization of animals using computer vision
General information
ShinyAnimalCV is an open-source, cloud-based web application designed for performing object detection and segmentation, three-dimensional visualization, and 2D and 3D morphological feature extraction using animal image data. This application aims to facilitate computer vision research and teaching in the animal science community. We provide comprehensive guidelines for utilizing this application, including instructions for using pre-trained models online and performing inferences locally using custom-trained weights. For more information, please refer to the online documentation: ShinyAnimalCV Doc.
Contact information and help:
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Jin Wang (jin.wang@ufl.edu)
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Haipeng Yu (haipengyu@ufl.edu)
References
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Jin Wang, Yu Hu, Lirong Xiang, Gota Morota, Samantha A. Brooks, Carissa L. Wickens, Emily K. Miller-Cushon and Haipeng Yu. Technical note: ShinyAnimalCV: open-source cloud-based web application for object detection, segmentation, and three-dimensional visualization of animals using computer vision. Journal of Animal Science. doi: 10.1093/jas/skad416
Detected and segmented image
3D visualization
3D morphological features