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Technical note: ShinyAnimalCV: open-source cloud-based web application for object detection, segmentation, and

Jin Wang1, Yu Hu1, Lirong Xiang2

  • 1Department of Animal Sciences, University of Florida, Gainesville, FL 32611, USA.

Journal of Animal Science
|December 22, 2023
PubMed
Summary
This summary is machine-generated.

ShinyAnimalCV is an open-source web application that simplifies computer vision (CV) for animal science education. It provides a user-friendly platform for teaching CV techniques in precision livestock farming.

Keywords:
computer visionmorphological featuresobject detectionobject segmentationshiny applicationthree-dimensional visualization

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Area of Science:

  • Agricultural Science
  • Computer Science
  • Animal Science

Background:

  • Precision livestock farming leverages computer vision (CV) for enhanced animal care and decision-making.
  • Challenges exist in applying CV tools to animal data due to technical skill and resource requirements.
  • There is a growing need to train animal science students in CV for the expanding precision livestock farming sector.

Purpose of the Study:

  • To develop ShinyAnimalCV, an open-source, cloud-based web application for teaching computer vision in animal science.
  • To provide a user-friendly interface for essential CV tasks relevant to animal data analysis.
  • To facilitate the adoption of CV technologies within the animal science community.

Main Methods:

  • Developed ShinyAnimalCV, a web application with a graphical user interface for CV tasks.
  • Integrated nine pre-trained CV models for top-view animal data analysis.
  • Deployed the application online via cloud computing platforms and made source code available on GitHub.

Main Results:

  • ShinyAnimalCV offers a simplified approach to CV tasks like object segmentation, detection, and morphological feature extraction.
  • The application includes tools for 3D surface visualization of animals.
  • Pre-trained models and documentation support both online use and local deployment.

Conclusions:

  • ShinyAnimalCV effectively addresses the educational challenges in teaching computer vision to animal science students.
  • The application lowers the barrier to entry for utilizing CV in livestock research and education.
  • It serves as a foundational tool to promote broader CV adoption in the animal science field.