Video Analysis System for Livestock Monitoring Using YOLOv8

Monitoring livestock behaviour with YOLOv8-powered video analysis for improved animal welfare

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Detail description

A video analysis system for livestock monitoring in cattle and pig farming, using YOLOv8 for real-time object detection and instance segmentation. Trained on a Roboflow dataset with 70% training, 20% validation, and 10% testing split, the model identifies animals in diverse farm environments. Designed to improve animal behaviour and welfare tracking through automated video analysis, the system runs on a WordPress-powered digital platform.

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Contribution detail info

Project

Hodowla przyszłości

Hodowla przyszłości

Location
Poland
Authors
Łukasz Czech
Purpose
Dissemination, Support decision-making and strategic planning, Monitor (metrics, conditions, progress, performance)

File type
document
Created on
Apr 30, 2025
Origin language
Polish
Official project website
License
CC BY