The project utilised AI for analysing animal health through image analysis to enhance efficiency and accuracy, involving research, data collection, model training, and documenting the workflow.

Accurate evaluation of horse fitness is crucial. Traditional methods are subjective. We aim to develop a computer vision system for objective assessment.

By analysing body conformation, muscle development, and movement patterns, our system will provide a quantitative fitness measure. This technology will revolutionize the equine industry with standardised and efficient evaluation.

Key objectives of this research include:

Developing a robust computer vision model capable of accurately identifying and quantifying relevant horse features.

Creating a scoring system to assess horse fitness based on extracted features.

Validating the system's performance through extensive testing on a diverse dataset.