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YOLOV12 project applied to pig behavior recognition

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Intelligent Aquaculture Visual Inspection System

This project is a pig health monitoring visual inspection system designed for entrepreneurship and innovation courses, based on YOLOv12 to achieve efficient object detection.

๐Ÿ“Œ Project Overview

  • Core Function: Real-time detection of pig behavior and body characteristics on the farm through cameras.
  • Technology Stack: YOLOv12
  • Application Scenario: Health monitoring and abnormal behavior warning in breeding farms.

๐Ÿ› ๏ธ Quick Start

Environment Configuration

conda create -n pigdetect python=3.9
conda activate pigdetect
cd yolov12-main
pip install -r requirements.txt

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YOLOV12 project applied to pig behavior recognition

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